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In Press (6)

[2573] A. Valdivia, E. Martínez-Cámara, I. Chaturvedi, M.V. Luzón, E. Cambria, Y. Ong, F. Herrera. What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. Journal of Ambient Intelligence and Humanized Computing (2018), in press. doi: 10.1007/s12652-018-1150-3
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[2578] A. Valdivia, E. Hrabova, I. Chaturvedi, M.V. Luzón, L. Troiano, E. Cambria, F. Herrera. Inconsistencies on TripAdvisor Reviews: a Unified Index between Users and Sentiment Analysis Methods. Neurocomputing (2019), in press.
[2171] S. Ramírez-Gallego, H. Mouriño-Talín, D. Martínez-Rego, V. Bolón-Canedo, J.M. Benítez, A. Alonso-Betanzos, F. Herrera. An Information Theory-Based Feature Selection Framework for Big Data under Apache Spark. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2017), in press. doi: 10.1109/TSMC.2017.2670926
[2254] P.D. Gutiérrez, M. Lastra, J.M. Benítez, F. Herrera. SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification. Progress in Artificial Intelligence, in press. doi: 10.1007/s13748-017-0128-2
[2361] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets. Neurocomputing, 2017. Available online 14 September 2017, in press. doi: 10.1016/j.neucom.2016.08.158
[2362] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. REMEDIAL-HwR: Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization. Neurocomputing, 2017. Available online 12 September 2017, in press. doi: 10.1016/j.neucom.2017.01.118

2023 (11)

[2975] C. Zuheros, E. Martinez-Camara, E. Herrera-Viedma, F. Herrera. Crowd Decision Making: Sparse Representation guided by Sentiment Analysis for leveraging the Wisdom of the Crowd. IEEE Transactions on Systems, Man and Cybernetics:Systems, Volume 53, Issue: 1, Pages 369-379, 2022. Accepted.. doi: 10.1109/TSMC.2022.3180938
[2989] J. Deng, J. Zhan, E. Herrera-Viedma, F. Herrera. Regret theory-based three-way decision method on incomplete multi-scale decision information systems with interval fuzzy numbers. IEEE Transactions on Fuzzy Systems, vol. 31, no. 3, pp. 982-996, March 2023. doi: 10.1109/TFUZZ.2022.3193453
[3014] J. Poyatos, D. Molina, A. D. Martínez, J. Del Ser, F. Herrera. EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks. Neural Networks, 158 (2023) 59-82. doi: 10.1016/j.neunet.2022.10.011
[3056] J. Poyatos, D. Molina, Aitor Martínez-Seras, J. Del Ser, F. Herrera. Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness. Applied Soft Computing 147 (2023) 110757 1-12. doi: 10.1016/j.asoc.2023.110757
[3068] I.Sevillano-García, J. Luengo, F. Herrera. REVEL Framework to Measure Local Linear Explanations for Black-Box Models: Deep Learning Image Classification Case Study. International Journal of Intelligent Systems 2023, 1-34. doi: 10.1155/2023/8068569
[3069] Ignacio Aguilera-Martos, A.M. García-Vico, J. Luengo, S. Damas, F.J. Melero, J.J. Valle-Alonso, F. Herrera. TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning. Neurocomputing 517, 223-228. doi: 10.1016/j.neucom.2022.10.062
[3070] I. Aguilera-Martos, M. García-Bárzana, D. García-Gil, J. Carrasco, D. López, J. Luengo, F. Herrera. Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study. Neurocomputing 544, 126228. doi: 10.1016/j.neucom.2023.126228
[3071] D. López, I. Aguilera-Martos, M. García-Bárzana, F. Herrera, D. García-Gil, J. Luengo. Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series. Information Fusion 100, 101957. doi: 10.1016/j.inffus.2023.101957
[3072] I. Aguilera-Martos, J. Luengo, F. Herrera. Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses. HAIS 2023: 39-48. doi: 10.1007/978-3-031-40725-3_4
[3073] I. Sevillano-García, J. Luengo, F. Herrera. Optimizing LIME Explanations Using REVEL Metrics. HAIS 2023: 304-313. doi: https://doi.org/10.1007/978-3-031-40725-3_26
[3074] I. Sevillano-García, J. Luengo, F. Herrera. Low-Impact Feature Reduction Regularization Term: How to Improve Artificial Intelligence with Explainability.. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 135-139.
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2022 (4)

[2939] S. Maldonado, C. Vairetti, A. Fernandez, F. Herrera. FW-SMOTE: a feature-weighted oversampling approach for imbalanced classification. Pattern Recognition, 124, 108511:1-16 (2022). doi: 10.1016/j.patcog.2021.108511
[2957] D. Molina, J. Poyatos, E. Osaba, J. Del Ser, F. Herrera. Nature-And Bio-Inspired Optimization: The Good, The Bad, The Ugly And The Hopeful. Dyna, 97:2 (2022) 114-117. doi: 10.6036/10331
[2958] X. Liu, N. Wang, D. Molina, F. Herrera. A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems. Applied Soft Computing, 117 (2022) 108357. doi: 10.1016/j.asoc.2021.108357
[3076] J. Luengo, R. Moreno, I. Sevillano-García, D. Charte, A. Peláez-Vegas, M. Fernández-Moreno, P. Mesejo, F. Herrera. A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges. Information Fusion 78, 232-253. doi: 10.1016/j.inffus.2021.09.018

2021 (15)

[2895] E. Osaba, E. Villar-Rodriguez, J. Del Ser, A. J. Nebro, D. Molina, A. La Torre, P.N. Suganthan, C.A. Coello, F. Herrera. A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems. Swarm and Evolutionary Computation.64 (2021), 100888. doi: 10.1016/j.swevo.2021.100888
[2836] E. León-Castro, L.F. Espinoza-Audelo, J.M. Merigó, E. Herrera-Viedma, F. Herrera. Measuring volatility based on ordered weighted average operators: Agricultural products prices case of use. Fuzzy Sets and Systems 422 (2021) 161-176. doi: 10.1016/j.fss.2020.08.006
[2853] A. D. Martinez, J. del Ser, E. Villa-Rodriguez, E. Osaka, J. Poyatos, S. Tabik, D. Molina, F. Herrera. Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons,Recommendations and Challenges. Information Fusion 67 (2021) 161-194. doi: 10.1016/j.inffus.2020.10.014
[2873] E. Herrera-Viedma, I. Palomares, C.-C. Li, F.J. Cabrerizo, Y.C. Dong, F. Chiclana, F. Herrera. Revisiting fuzzy and linguistic decision making: Scenarios and challenges for making wiser decisions in a better way. IEEE Transactions on Systems, Man, and Cybernetics: Systems 51:1 (2021) 191-208. doi: 10.1109/TSMC.2020.3043016
[2898] J.D. Pascual, D. Charte, M. Andrés, A. Fernández, F. Herrera. Revisiting data complexity metrics based onmorphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect. Knowledge and Information Systems 63 (2021) 1961–1989. doi: 10.1007/s10115-021-01577-1
[2899] S. Alonso, R. Montes, D. Molina, I. Palomares, E. Martínez-Cámara, M. Chiachio, J. Chiachio, F.J. Melero, P. García-Moral, B. Fernández, C. Moral, R. Marchena, J. Pérez de Vargas, F. Herrera. Article Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys. Sustainability 2021, 13(11), 6038. doi: 10.3390/su13116038
[2903] A. Lamas, S. Tabik, P. Cruz, R. Montes, A. Martínez-Sevilla, T. Cruz, F. Herrera. MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification. Neurocomputing 420 (2021)266-280. doi: j.neucom.2020.09.041
[2906] I. Palomares, E. Martínez-Cámara, R. Montes, P. García-Moral, M. Chiachio, J. Chiachio, S. Alonso, F.J. Melero, D. Molina, B. Fernández, C. Moral, R. Marchena, J.P. de Vargas, F. Herrera. A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects. Applied Intelligence, (2021) 51, 6497-6527. doi: 10.1007/s10489-021-02264-y
[2920] A. LaTorre, D. Molina, E. Osaba, J. Poyatos, J. Del Ser, F. Herrera. A prescription of methodological guidelines for comparing bio-inspired optimization algorithms. Swarm and Evolutionary Computation, 67 (2021) 100973. doi: 10.1016/j.swevo.2021.100973
[2921] J.A. Fdez-Sánchez, J.D. Pascual-Triana, A. Fernandez, F. Herrera. Learning interpretable multi-class models by means of hierarchical decomposition: Threshold Control for Nested Dichotomies. Neurocomputing 463 (2021) 514-524. doi: 10.1016/j.neucom.2021.07.097
[2947] C. Zuheros, E. Martínez-Cámara, E. Herrera-Viedma, F. Herrera. Sentiment Analysis based Multi-Person Multi-criteria Decision Making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews. Information Fusion 68 (2021) 22-36. doi: 10.1016/j.inffus.2020.10.019
[2948] X. Chao, G. Kou, Y. Peng, E. Herrera-Viedma, F. Herrera. An efficient consensus reaching framework for large-scale social network group decision making and its application in urban resettlement. Information Fusion 575 (2021) 499-527. doi: 10.1016/j.ins.2021.06.047
[3067] N. Rodríguez, D. López, A. Fernández, S. García, F. Herrera. SOUL: Scala Oversampling and Undersampling Library for imbalance classification. SoftwareX 15 (2021) 100767. doi: 10.1016/j.softx.2021.100767
[3078] J. Carrasco, D. López, I. Aguilera-Martos, D. García-Gil, I. Markova, M. García-Bárzana, M. Arias-Rodil, J. Luengo, F. Herrera. Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms. Neurocomputing 462: 440-452 (2021). doi: 10.1016/j.neucom.2021.07.095
[3080] J. Luengo, D. Sánchez Tarragó, R.C. Prati, F. Herrera. Multiple instance classification: Bag noise filtering for negative instance noise cleaning. Information Scences. 579: 388-400 (2021). doi: 10.1016/j.ins.2021.07.076

2020 (8)

[2736] A. B. Arrieta, N. Díaz-Rodríguez, J. Del Ser, A. Bennetot, S. Tabik, A. Barbado, S. García, S. Gil-Robles, D. Molina, R. Benjamins, R. Chatila, F. Herrera. Explainable ArtificialIntelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58 (2020) 82-115. doi: 10.1016/j.inffus.2019.12.012
[2745] R-X. Ding, I. Palomares, X. Wang, G-R. Yang, B. Liu, Y. Dong, E. Herrera-Viedma, F. Herrera. Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective. Information Fusion 59 (2020) 84-102. doi: 10.1016/j.inffus.2020.01.006
[2790] J. Maillo, S. García, J. Luengo, F. Herrera, I. Triguero. Fast and Scalable Approaches to Accelerate the Fuzzy k Nearest Neighbors Classifier for Big Data. IEEE Transactions on Fuzzy Systems 28(5): 874-886 (2020). doi: 10.1109/TFUZZ.2019.2936356
[2847] D. Molina, J. Poyatos, J.D. Del Ser, S. García, A. Hussain, F. Herrera. Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations. Cognitive Computation 12:5 (2020) 897-939. doi: 10.1007/s12559-020-09730-8
[2864] J.R. Trillo, A. Fernández, F. Herrera. HFER: Promoting Explainability in Fuzzy Systems via Hierarchical Fuzzy Exception Rules. 2020 IEEE World Congress on Computational Intelligence (WCCI) - 2020 FUZZ-IEEE, Glasgow (UK), 1-8, July 19-24, 2020.
[2865] M.J. Basgall, M. Naiouf, A. Fernandez, F. Herrera. Towards Smart Data Technologies for Big Data Analytics. Short Papers of the 8th Conference on Cloud Computing Conference, Big Data & Emerging Topics (JCC-BD&ET 2020), La Plata (Buenos Aires), September 8-10 2020, 44-47.
[3083] J. A. Cortés-Ibáñez, S. González, J. J. Valle-Alonso, J. Luengo, S. García, F. Herrera. Preprocessing methodology for time series: An industrial world application case study. Inf. Sci. 514: 385-401 (2020). doi: j.ins.2019.11.027
[3084] S. Tabik, A. Gómez-Ríos, J. L. Martín-Rodríguez, I. Sevillano-García, M. Rey-Area, D. Charte, E. Guirado, J.-L. Suárez, J. Luengo, M. A. Valero-González, P. García-Villanova, E. Olmedo-Sánchez, F. Herrera. COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images. IEEE Journal of Biomedical and Health Informatics 24(12): 3595-3605 (2020). doi: 10.1109/JBHI.2020.3037127

2019 (24)

[2335] S. Elhag, A. Fernandez, A. Altalhi, S. Alshomrani, F. Herrera. A Multi-Objective Evolutionary Fuzzy System to Obtain a Broad and Accurate Set of Solutions in Intrusion Detection Systems. Soft Computing 23:4 (2019) 1321-1336. doi: 10.1007/s00500-017-2856-4
[2485] J. Cózar, A. Fernandez, F. Herrera, J.A. Gámez. A Meta-Hierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity. IEEE Transactions on Fuzzy Systems 27:4 (2019) 701-715. doi: 10.1109/TFUZZ.2018.2866967
[2490] A. Fernandez, M.J. de Jesus, O. Cordon, F. Marcelloni, F. Herrera. Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?. IEEE Computational Intelligence Magazine 14:1 (2019) 69-81. doi: 10.1109/MCI.2018.2881645
[2506] RC. Prati, J. Luengo, F. Herrera. Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise. Knowledge and Information Systems 60(1): 63-97 (2019). doi: 10.1007/s10115-018-1244-4
[2523] A. Gómez-Ríos, S. Tabik, J. Luengo, ASM. Shihavuddin, B. Krawczyk, F. Herrera. Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation. Expert Systems with Applications 118 (2019) 315-328. doi: 10.1016/j.eswa.2018.10.010
[2543] I. Triguero, D. García-Gil, J. Maillo, J. Luengo, S. García, F. Herrera. Transforming big data into smart data: An insight on the use of the k nearest neighbors algorithm to obtain quality data. Wiley Interdisciplinary Reviews. Data Mining and Knowledge Discovery. e1289. doi: 10.1002/widm.1289
[2544] C-C Li, Y. Dong, Y. Xu, F. Chiclana, E. Herrera-Viedma, F. Herrera. An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and Fusion: Taxonomy and future directions. Information Fusion, Vol. 52, 2019, Pages 143-156..
[2545] X. Liu, Y. Xu, R. Montes, R. Ding, F. Herrera. Alternative Ranking-Based Clustering and Reliability Index-Based Consensus Reaching Process for Hesitant Fuzzy Large Scale Group Decision Making. IEEE Transactions on Fuzzy Systems 27:1, 159-171, January 2019. doi: 10.1109/TFUZZ.2018.2876655
[2554] X. Liu, Y. Xu, R. Montes, Y. Dong, F. Herrera. Analysis of self-confidence indices-based additive consistency for fuzzy preference relations with self-confidence and its application in group decision making. Int J Intell Syst. 34:5 (2019) 920-946. doi: 10.1002/int.22081
[2557] D. García-Gil, J. Luengo, S. García, F. Herrera. Enabling smart data: noise filtering in big data classification. Information Sciences 479, 135-152. doi: 10.1016/j.ins.2018.12.002
[2568] A. Castillo, S. Tabik, F. Pérez, R. Olmos, F. Herrera. Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning. Neurocomputing 330(2019) 151-161. doi: 10.1016/j.neucom.2018.10.076
Complementary material
[2571] S. González, S. García, S-T. Li, F. Herrera. Chain based sampling for monotonic imbalanced classification. Information Sciences 474 (2019) 187-204. doi: 10.1016/j.ins.2018.09.062
[2575] M. López, A. Valdivia, E. Martínez-Cámara, M.V. Luzón, F. Herrera. E2SAM: Evolutionary Ensemble of Sentiment Analysis Methods for Domain Adaptation. Information Sciences, 480 (2019) 273-286. doi: 10.1016/j.ins.2018.12.038
Read the paper
[2688] X. Liu, Y. Xu, R. Montes, F. Herrera. Social network group decision making: Managing self-confidence based consensus model with dynamic importance degree of experts and trust-based feedback mechanism. Information Sciences 505 (2019) 215-232. doi: j.ins.2019.07.050
[2690] J. Del Ser, E. Osaba, D. Molina, Xin-She Yang, S. Salcedo-Sanz, D. Camacho, S. Das, P. N.Suganthan, C. A.Coello, F. Herrera. Bio-inspired computation: Where we stand and what's next. Swarm and Evolutionary Computation 48 (2019) 220-250. doi: 10.1016/j.swevo.2019.04.008
[2691] M. Leon, N. Xiong, D. Molina, F. Herrera. A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search. International Journal of Computational Intelligence Systems 12:2 (2019) 795-808. doi: 10.2991/ijcis.d.190711.001
[2696] D. Molina, F. Herrera. Applying Memetic algorithm with Improved L-SHADE and Local Search Pool for the 100-digit challenge on Single Objective Numerical Optimization. 2019 IEEE Congress on Evolutionary Computation, CEC'2019, Wellington (New Zealand), 7-12, June 10-13, 2019. doi: 10.1109/CEC.2019.8789916
[2706] M.J. Basgall, W. Hasperué, M. Naiouf, A. Fernandez, F. Herrera. An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing. M. Naiouf et al. (Eds.): JCC&BD 2019, CCIS 1050, pp. 75–85, 2019. doi: 10.1007/978-3-030-27713-0_7
[2708] A. Fernandez, I. Triguero, M. Galar, F. Herrera. Guest Editorial: Computational Intelligence for Big Data Analytics. Cognitive Computation 11 (2019) 329–330. doi: 10.1007/s12559-019-09647-x
[3088] D. García-Gil, F. Luque Sánchez, J. Luengo, S. García, F. Herrera. From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification. International Journal of Intelligent Systems 34(12): 3260-3274 (2019). doi: 10.1002/int.22193
[3089] I. Cordón, J. Luengo, S. García, F. Herrera, F. Charte. Smartdata: Data preprocessing to achieve smart data in R. Neurocomputing 360: 1-13 (2019). doi: 10.1016/j.neucom.2019.06.006
[3090] A. Gómez-Ríos, S. Tabik, J. Luengo, A.S.M. Shihavuddin, F. Herrera. Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks.. Knowledge-Based Systems 184 (2019). doi: j.knosys.2019.104891
[3091] B. Montesdeoca, J. Luengo, J. Maillo, D. García-Gil, S. García, F. Herrera. A First Approach on Big Data Missing Values Imputation. IoTBDS 2019: 315-323. doi: 10.5220/0007738403150323
[3092] D. García-Gil, A. Alcalde-Barros, J. Luengo, S. García, F. Herrera. Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries. IoTBDS 2019: 324-331. doi: 10.5220/0007738503240331

2018 (66)

[2299] R. Montes, A.M. Sánchez, P. Villar, F. Herrera. Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust. Applied Soft Computing. Volume 67, June 2018, Pages 941-952. doi: 10.1016/j.asoc.2017.05.039
[2319] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. Swarm and Evolutionary Computation 38 (2018) 240-250. doi: 10.1016/j.swevo.2017.08.005
[2596] A. Fernández, S. García, M. Galar, R.C. Prati, B. Krawczyk, F. Herrera. Learning from Imbalanced Data Sets. Springer International Publishing, 2018, ISBN 978-3-319-98073-7. doi: 10.1007/978-3-319-98074-4
[2324] S. Vluymans, A. Fernandez, C. Cornelis, Y. Saeys, F. Herrera. Dynamic Affinity-based Classification of Multi-Class Imbalanced Data with One-vs-One Decomposition: a Fuzzy Rough Set Approach. Knowledge and Information Systems 56:1 (2018) 55–84. doi: 10.1007/s10115-017-1126-1
[2338] S. Ramírez-Gallego, A. Fernández, S. García, M. Chen, F. Herrera. Big Data: Tutorial and Guidelines on Information and Process Fusion for Analytics Algorithms with MapReduce. Information Fusion 42 (2018) 51-61. doi: 10.1016/j.inffus.2017.10.001
[2345] F. Padillo, J.M. Luna, F. Herrera, S. Ventura. Mining Association Rules on Big Data through MapReduce Genetic Programming. Integrated Computer-Aided Engineering.
[2364] D. Peralta, I. Triguero, S. García, Y. Saeys, J.M. Benítez, F. Herrera. On the use of convolutional neural networks for robust classiffication of multiple fingerprint captures. International Journal of Intelligent Systems 33:1 (2018) 213–230. doi: 10.1002/int.21948
[2365] C.J. Carmona, M.J. del Jesus, F. Herrera. A Unifying Analysis for the Supervised Descriptive Rule Discovery via the Weighted Relative Accuracy. Knowledge-Based Systems (2017). doi: 10.1016/j.knosys.2017.10.015
[2372] R. Olmos, S. Tabik, F. Herrera. Automatic Handgun Detection Alarm in Videos Using Deep Learning. Neurocomputing 275, 66-72 (2018).. doi: 10.1016/j.neucom.2017.05.012
[2383] J. Luengo, S.O. Shim, S. Alshomrani, A. Altalhi, F. Herrera. CNC-NOS: Class Noise Cleaning by Ensemble Filtering and Noise Scoring. Knowledge-Based Systems 140 (2018) 27-49. doi: 10.1016/j.knosys.2017.10.026
OMPLEMENTARY MATERIAL to the paper: datasets, experimental results
[2386] H. Liao, Z. Xu, E. Herrera-Viedma, F. Herrera. Hesitant fuzzy linguistic term set and its application in decision making: A state-of-the-art survey. Int. J. of Fuzzy Systems, 2018, Volume 20, Issue 7, pp 2084–2110.. doi: 10.1007/s40815-017-0432-9
[2431] A. Fernandez, S. Garcia, N.V. Chawla, F. Herrera. SMOTE for Learning from Imbalanced Data: Progress and Challenges. Marking the 15-year Anniversary. Journal of Artificial Intelligence Research 61 (2018) 863-905. doi: 10.1613/jair.1.11192
[2449] D.G. Cañizares, A. Fernandez, F. Herrera, A. Antunes, R. Molina-Ruiz, G. Agüero-Chapin. Surveying Alignment-free Features for Ortholog Detection in Related Yeast Proteomes by using Supervised Big Data Classifiers. BMC Bioinformatics 19:166 (2018) 1-17. doi: 10.1186/s12859-018-2148-8
[2462] D. Martín, M. Martínez-Ballesteros, D. García-Gil, J. Alcalá-Fdez, J.C. Riquelme-Santos, F. Herrera. MRQAR: a generic MapReduce framework to discover Quantitative Association Rules in Big Data problems. Knowledge-Based Systems 153 (2018) 176-192. doi: 10.1016/j.knosys.2018.04.037
[2463] D. Molina, A. LaTorre, F. Herrera. An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions. Cognitive Computation (2018) 10:4, 517-544. doi: 10.1007/s12559-018-9554-0
[2507] D. Molina, A. LaTorre, F. Herrera. SHADE con una Búsqueda Local Iterativa para Optimización de Alta Dimensionalidad. Actas del XIII Congreso Español en Metaheurísticas y Algoritmos Evolutivos y BioInspirados, Granada, 741-746, Octubre 22-25, 2018.
[2511] J. Maillo, J. Luengo, S. Garcia, F. Herrera, I. Triguero. A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification. 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), Rio de Janeiro (Brazil), July 8-13. doi: 10.1109/FUZZ-IEEE.2018.8491595
[2470] S. Elhag, A. Fernandez, S. Alshomrani, F. Herrera. Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems. In: J.C. Bansal, P.K. Singh, N.R. Pal (Eds). Evolutionary and Swarm Intelligence Algorithms; Part of the Studies in Computational Intelligence book series (SCI, volume 779), Pages 169-190. doi: 10.1007/978-3-319-91341-4_9
[2478] D. Molina, A. LaTorre, F. Herrera. SHADE with Iterative Local Search for Large-Scale Global Optimization. 2018 World Congress on Computational Intelligence (WCCI-2018), 2018 IEEE Conference on Evolutionary Computation (IEEE CEC'2018), Rio de Janeiro (Brasil), 1252-1259, July 8-13, 2018.
[2482] J. Morales, R. Montes, N. Zermeño, J. Duran, F. Herrera. The use of fuzzy linguistic information and Fuzzy Delphi method to validate by consensus a questionnaire in a Blended-Learning environment. Information Processing and Management of Uncertainty in Knowledge-Based Systems - Applications. Springer Communications in Computer and Information Science series, Volume 855, pag. 137--149. doi: 10.1007/978-3-319-91479-4_12
[2486] I. Cordon, S. Garcia, A. Fernandez, F. Herrera. imbalance: Oversampling Algorithms for Imbalanced Classification in R. Knowledge-Based Systems 161 (2018) 329-341. doi: 10.1016/j.knosys.2018.07.035
[2487] D.G. Cañizares, A. Fernandez, F. Herrera, A. Antunes, R. Molina-Ruiz, G. Agüero-Chapin. Surveying Alignment-free Features for Ortholog Detection in Related Yeast Proteomes by using Supervised Big Data Classifiers. Proceedings of MOL2NET 2018, International Conference on Multidisciplinary Sciences, 4th edition, 1. doi: 10.3390/mol2net-04-05468
[2514] J. Maillo, J. Luengo, S. Garcia, F. Herrera, I. Triguero.. Un enfoque aproximado para acelerar el algoritmo de clasificacion Fuzzy kNN para Big Data. II Workshop en Big Data y Análisis de Datos Escalable (BigDADE 2018), Granada (España), 23-26 octubre 2018.
[2558] J. Luengo, D. Sanchez-Tarrago, RC. Prati, F. Herrera. A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification. LOPAL '18 Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications. doi: 10.1145/3230905.3230911
[2560] RC. Prati, J. Luengo, F. Herrera. Emerging topics and challenges of learning fromnoisy data in non-standard classification: A surveybeyond binary class noise. IX Simposio de Teoría y Aplicaciones de la Minería de Datos (TAMIDA 2018) pp. 889-890.
[2565] N. Zermeño, L. D. del Rosso Calache, R. Montes, F. Herrera. Fuzzy linguistic ranking model for Web Accessibility Test tools. XVIII Conferencia de la Asociación Española para la Inteligencia Artificial. XIX Congreso Español sobre Tecnologías y Lógica Fuzzy (XIX ESTYLF), Granada (Spain), 430-435, October 23-26, 2018..
[2566] J. M. Morales Nieto, R. Montes, F. Herrera. Detección del Fracaso Académico y Evaluación de la Práctica Docente mediante la Comunicación Automatizada con un Chatbot. XVIII Conferencia de la Asociación Española para la Inteligencia Artificial. XIX Congreso Español sobre Tecnologías y Lógica Fuzzy (XIX ESTYLF), Granada (Spain), 245-250, October 23-26, 2018..
[2567] J. Duran, R. Montes, F. Herrera. Toma de decisiones a gran escala usando evaluación parcial de criterios. Caso aplicado a evaluación de conferencias. XVIII Conferencia de la Asociación Española para la Inteligencia Artificial. XIX Congreso Español sobre Tecnologías y Lógica Fuzzy (XIX ESTYLF), Granada (Spain), 221-226, October 23-26, 2018..
[2569] A. Valdivia, M.V. Luzón, E. Cambria, F. Herrera. Consensus vote models for detecting and filtering neutrality in sentiment analysis. Information Fusion 44 (2018) 126-135. doi: 10.1016/j.inffus.2018.03.007
[2570] Z-L. Zhang, X-G. Luo, S. González, S. García, F. Herrera. DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets. Neurocomputing 285 (2018) 176-187. doi: 10.1016/j.neucom.2018.01.039
[2572] S. González, S. García, S-T. Li, R. John, F. Herrera. k-Vecinos más Cercanos Difuso para Clasificacion Monotonica. XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018). IX Simposio de Teoría y Aplicaciones de la Minería de Datos (TAMIDA). Granada (SPAIN), October 23-26, 2018.
[2574] A. Fernandez, C.J. Carmona, M.J. del Jesus, F. Herrera. A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets. XVIII Conferencia de la Asociacion Española para la Inteligencia Artificial (CAEPIA-2018), Granada (Spain), 1316-1317, 23-26 October 2018.
[2576] M.J. Basgall, W. Hasperué, M. Naiouf, A. Fernandez, F. Herrera. SMOTE-BD: An Exact and Scalable Oversampling Method for Imbalanced Classification in Big Data. Journal of Computer Science & Technology 18:3 (2018) 203-209.
[2577] M.J. Basgall, W. Hasperué, M. Naiouf, A. Fernandez, F. Herrera. SMOTE-BD: An Exact and Scalable Oversampling Method for Imbalanced Classification in Big Data. VI Jornadas de Cloud Computing & Big Data (JCC&BD2018), La Plata -Buenos Aires- (Argentina), 23-28, 25-29 Junio 2018.
[2580] D. García-Gil, S. Ramírez-Gallego, S. García, F. Herrera. Principal Components Analysis Random Discretization Ensemble for Big Data. Knowledge-Based Systems, 150, 2018, 166-174. doi: 10.1016/j.knosys.2018.03.012
[2581] D. García-Gil, S. Ramírez-Gallego, S. García, F. Herrera. On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data. International Conference on Hybrid Artificial Intelligence Systems, 2018, 15-26. doi: 10.1007/978-3-319-92639-1_2
[2582] L. Pereyra, D. García-Gil, F. Herrera, LC. González-Gurrola, J. Carrasco, MA Medina-Pérez, R Monroy. Bagging-RandomMiner-Un Algoritmo en MapReduce para Detección de Anomalías en Big Data. XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA2018), II Workshop en Big Data y Análisis de Datos Escalable , Octubre 23-26, 2018.
[2583] D. García-Gil, J. Luengo, S. García, F. Herrera. Smart Data: Filtrado de Ruido para Big Data. XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA2018), II Workshop en Big Data y Análisis de Datos Escalable, Octubre 23-26, 2018.
[2584] D. Charte, F. Charte, S. García, F. Herrera. A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations. Progress in Artificial Intelligence, 2018, 1-14. doi: 10.1007/s13748-018-00167-7
[2585] S. Ramírez-Gallego, S. García, F. Herrera. Online entropy-based discretization for data streaming classification. Future Generation Computer Systems 86, 2018, 59-70. doi: 10.1016/j.future.2018.03.008
[2586] S. García, ZL. Zhang, A. Altalhi, S. Alshomrani, F. Herrera. Dynamic ensemble selection for multi-class imbalanced datasets. Information Sciences 445, 2018, 22-37. doi: 10.1016/j.ins.2018.03.002
[2589] B. Krawczyk, I. Triguero, S. García, M. Wozniak, F. Herrera. Instance reduction for one-class classification. Knowledge and Information Systems, 2018, 1-28. doi: 10.1007/s10115-018-1220-z
[2591] A. Rosales-Pérez, AE. Gutierrez-Rodríguez, S. García, H. Terashima-Marín, CAC. Coello, F. Herrera. Cooperative multi-objective evolutionary support vector machines for multiclass problems. Proceedings of the Genetic and Evolutionary Computation Conference, 2018, 513-520. doi: 10.1145/3205455.3205524
[2592] A. Rosales-Perez, S. García, H. Terashima-Marin, CAC. Coello, F. Herrera. MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines. IEEE Computational Intelligence Magazine 13 (2), 2018, 18-29. doi: 10.1109/MCI.2018.2806997
[2593] D. Charte, F. Charte, S. García, M. J. del Jesus, F. Herrera. A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. Information Fusion 44, 2019, 78–96. doi: 10.1016/j.inffus.2017.12.007
[2601] J. Carrasco, S. García, F. Herrera. shinytests: Una herramienta gráfica para la comparación estadística en minería de datos. XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018). IX Simposio de Teoría y Aplicaciones de la Minería de Datos (TAMIDA). Granada (SPAIN), October 23-26, 2018.
[2602] A. Gómez-Ríos, S. Tabik, J. Luengo, ASM Shihavuddin, B. Krawczyk, F. Herrera. Redes Neuronales Convolucionales para una Clasificación Precisa de Imágenes de Corales. XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018), I Workshop en Deep Learning (DEEPL 2018), Octubre 23-26, 2018.
[2618] N. Rodríguez Barroso, E. Martínez-Cámara, F. Herrera. SCI2S at TASS 2018: Emotion Classification with Recurrent Neural Networks. In Proceedings of TASS 2018: Workshop on Semantic Analysis at SEPLN (TASS 2018) co-located with 34nd SEPLN Conference (SEPLN 2018), 2172 (2018) 117-123. ISSN: 1613-0073.
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[2619] A. Valdivia, E. Martínez-Cámara, M.V. Luzón, F. Herrera. Resumiendo Opiniones Negativas con Deep Learning y Reglas Descriptivas. In I Workshop en Ciencia de Datos en Redes Sociales (CIDRES 2018) co-located in XVIII Conferencia de la Asociación Española en Inteligencia Artificial (CAEPIA 2018), 1017-1022. Granada (Spain), October 2018.
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[2621] C. Zuheros, C.-C. Li, F.J. Cabrerizo, Y. Dong, E. Herrera-Viedma, F. Herrera. Computing with words: Revisiting the qualitative scale. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 26:Suppl. 2 (2018) 127-143. doi: 10.1142/S0218488518400147
[2631] M. Galar, I. Triguero, H. Bustince, F. Herrera. A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark. IEEE Congress on Evolutionary Computation (CEC), 1-8. Rio de Janeiro (Brazil), July, 8-13, 2018. doi: 10.1109/CEC.2018.8477878
[2643] C. Li, R. M. Rodríguez, F. Herrera, L. Martínez, Y. Dong. Consistency of hesitant fuzzy linguistic preference relations: An interval consistency index. Information Sciences, 432 (2018) 347-361. doi: 10.1016/j.ins.2017.12.018
[2644] S. Vluymans, C. Cornelis, F. Herrera, Y. Saeys. Multi-Label Classification using a Fuzzy Rough Neighborhood Consensus. Information Sciences, vol. 433-434 (2018), 96-114.. doi: 10.1016/j.ins.2017.12.034
[2645] M. Chen, F. Herrera, K. Hwang. Cognitive Computing: Human-Centered Computing with Cognitive Intelligence on Clouds. IEEE Access, 6 (2018) 19774 – 19783. doi: 10.1109/ACCESS.2018.2791469
[2646] R. M. Rodríguez, Y. Xu, L. Martínez, F. Herrera. Exploring Consistency for Hesitant Preference Relations in Decision Making: Discussing Concepts, Meaning and Taxonomy.. Journal of multiple-valued logic and soft computing, 30:2-3 (2018) 129-154.
[2647] G. Acampora, F. Herrera, G. Tortora, A. Vitiello. A multi-objective evolutionary approach to training set selection for support vector machine. Knowledge-Based Systems, 147 (2018) 94-108.. doi: 10.1016/j.knosys.2018.02.022
[2648] I. Chaturvedi, E. Cambria, R. E. Welsch, F. Herrera. Distinguishing Between Facts and Opinions for Sentiment Analysis: Survey and Challenges. Information Fusion, 44 (2018) 65-77.. doi: 10.1016/j.inffus.2017.12.006
[2650] X. Gou, Z. Xu, F. Herrera. Consensus Reaching Process for Large-scale Group Decision Making with Double Hierarchy Hesitant Fuzzy Linguistic Preference Relations. Knowledge-Based Systems, 157 (2018) 20-33. doi: 10.1016/j.knosys.2018.05.008
[2653] B. Krawczyk, M. Galar, M. Wozniak, H. Bustince, F. Herrera. Dynamic ensemble selection for multi-class classification with one class classifiers. Pattern Recognition, 83 (2018) 34-51.. doi: 10.1016/j.patcog.2018.05.015
[2654] A. Roldan, C. Roldán, F. Herrera.. On a new methodology for ranking fuzzy numbers and its application to real economic data. Fuzzy Sets and Systems, 353 (2018) 86-110. doi: 10.1016/j.fss.2018.04.003
[2655] H. Liao, X. Wu, X. Liang, J.-B. Yang, D.-L. Xu, F. Herrera. A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making. Knowledge-Based Systems, 153 (2018) 65-77. doi: 10.1016/j.knosys.2018.04.022
[2656] C. Li, R. M. Rodríguez, L. Martínez, Y. Dong, F. Herrera. Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions. Knowledge-Based Systems, 145 (2018), 156-165.. doi: 10.1016/j.knosys.2018.01.011
[2657] H. C. Liao, X. M. Mi, Z. S. Xu, J. P. Xu, F. Herrera. Intuitionistic fuzzy analytic network process. IEEE Transactions on Fuzzy Systems, 26:5 (2018), 2578-2590. doi: 10.1109/TFUZZ.2017.2788881
[2658] X. Wu, H. Liao, Z. Xu, A. Hafezalkotob, F. Herrera. Probabilistic Linguistic MULTIMOORA: A Multi-Criteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule. IEEE Transactions on Fuzzy Systems, 26:6 (2018), 3688-3702. doi: 10.1109/TFUZZ.2018.2843330
[2660] X. Gou, Z. Xu, H. Liao, F. Herrera. Multiple criteria decision making based on distance and similarity measures under double hierarchy hesitant fuzzy linguistic environment. Computers & Industrial Engineering, 126 (2018) 516-530. doi: 10.1016/j.cie.2018.10.020
[2661] Z. Fu, X. Wu, H. Liao, F. Herrera. Underground mining method selection with the hesitant fuzzy linguistic gained and lost dominance score method. IEEE Access, 6 (2018), 66442-66458. doi: 10.1109/ACCESS.2018.2878784

2017 (38)

[2086] A. Fernandez, S. Río, F. Herrera. Fuzzy Rule Based Classification Systems for Big Data with MapReduce: Granularity Analysis. Advances in Data Analysis and Classification 11 (2017) 711-730. doi: 10.1007/s11634-016-0260-z
[2089] J. Maillo, S. Ramírez-Gallego, I. Triguero, F. Herrera. kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data. Knowledge-Based Systems 117 (2017) 3-15. doi: 10.1016/j.knosys.2016.06.012
[2096] S. Ramírez-Gallego, I. Lastra, D. Martínez-Rego, V. Bolón-Canedo, J.M. Benítez, F. Herrera, A. Alonso-Betanzos. Fast-mRMR: Fast minimum Redundancy Maximum Relevance algorithm for high dimensional big data. International Journal of Intelligent Systems 32:2 (2017) 134-152. doi: 10.1002/int.21833
[2100] Li, C-C., Y. Dong, F. Herrera, E. Herrera-Viedma, and L. Martínez. Personalized individual semantics in Computing with Words for supporting linguistic Group Decision Making. An Application on Consensus reaching. Information Fusion 33:1 (2017) 29-40.
[2113] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. NMC: Nearest Matrix Classification – A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem. Information Fusion 36 (2017) 26–51. doi: 10.1016/j.inffus.2016.11.004
[2135] A. Fernandez, S. Río, N.V. Chawla, F. Herrera. An insight into imbalanced Big Data classification: outcomes and challenges. Complex & Intelligent Systems 3:2 (2017) 105–120. doi: 10.1007/s40747-017-0037-9
[2133] S. García, S. Ramírez-Gallego, J. Luengo, F. Herrera. Big Data: Preprocesamiento y calidad de datos. Novática (Revista de la Asociación de Técnicos de Informática), Monografía Big Data, 237 (2017) 17-23..
Enlace a la revista completa
[2143] A. Fernandez, C.J. Carmona, M.J. del Jesus, F. Herrera. A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets. International Journal of Neural Systems 27 (2017) 1750028-1:1750028-21. doi: 10.1142/S0129065717500289
[2150] Z-L. Zhang, X-G. Luo, S. García, F. Herrera. Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers. Applied Soft Computing 56 (2017) 357-367. doi: 10.1016/j.asoc.2017.03.016
[2151] D. Peralta, I. Triguero, S. García, Y. Saeys, J.M. Benítez, F. Herrera. Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. Knowledge-Based Systems 126 (2017) 91-103. doi: 10.1016/j.knosys.2017.03.014
[2153] S. Ramírez-Gallego, B. Krawczyk, S. García, M. Wozniak, F. Herrera. A survey on data preprocessing for data stream mining: Current status and future directions. Neurocomputing 239 (2017) 39-57. doi: 10.1016/j.neucom.2017.01.078
[2154] D. Peralta, S. García, J.M. Benítez, F. Herrera. Minutiae-Based Fingerprint Matching Decomposition: Methodology for Big Data Frameworks. Information Sciences 408 (2017) 198-212. doi: 10.1016/j.ins.2017.05.001
[2156] S. González, S. García, M. Lázaro, A.. Figueiras-Vidal, F. Herrera. Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets. Pattern Recognition 70 (2017) 12-24. doi: 10.1016/j.patcog.2017.04.028
[2158] Z-L. Zhang, X-G. Luo, S. García, J-F. Tang, F. Herrera. Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme. Knowledge-Based Systems 125 (2017) 53-63. doi: 10.1016/j.knosys.2017.03.026
[2159] A. Rosales-Perez, S. García, J.A. Gonzalez, C.A.C. Coello, F. Herrera. An Evolutionary Multi-Objective Model and Instance Selection for Support Vector Machines with Pareto-based Ensembles. IEEE Transactions on Evolutionary Computation (Volume: 21, Issue: 6, Dec. 2017) 863-877. doi: 10.1109/TEVC.2017.2688863
[2160] D. García-Gil, S. Ramírez-Gallego, S. García, F. Herrera. A comparison on scalability for batch big data processing on Apache Spark and Apache Flink. Big Data Analytics 2:1 (2017) 1. doi: 10.1186/s41044-016-0020-2
[2170] S. Ramírez-Gallego, B. Krawczyk, S. García, M. Wozniak, J.M. Benítez, F. Herrera. Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. IEEE Transactions on Systems, Man, and Cybernetics: Systems 47:10 (2017) 2727-2739. doi: 10.1109/TSMC.2017.2700889
[2190] S. Tabik, D. Peralta, A. Herrera-Poyatos, F. Herrera. A snapshot of image pre-processing for convolutional neural networks: case study of MNIST. International Journal of Computational Intelligence Systems 10 (2017) 555-568.
[2253] D. Molina, F. Moreno-García, F. Herrera. Analysis among winners of different IEEE CEC competitions on real-parameters optimization: Is there always improvement?. 2017 IEEE Congress on Evolutionary Computation, CEC 2017, Donostia-San Sebastian (Spain), 805-812, Juny 5-8, 2017.. doi: 10.1109/CEC.2017.7969392
[2302] I. Triguero, M. Galar, H. Bustince, F. Herrera. A First Attempt on Global Evolutionary Undersampling for Imbalanced Big Data. IEEE Congress on Evolutionary Computation (CEC 2017), San Sebastian (Spain), 2054-2061, June 5-8.
[2304] A. Gómez-Ríos, J. Luengo, F. Herrera. A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost. 12th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2017), Lecture Notes in Computer Science (LNCS 10334), Logroño, Spain, June 21-23 June, 2017.. doi: 10.1007/978-3-319-59650-1_23
[2310] J. Maillo, J. Luengo, S. Garcia, F. Herrera, I. Triguero. Exact Fuzzy k-Nearest Neighbor Classification for Big Datasets. IEEE Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples (Italy), July 9-12.
[2323] A. Fernandez, A. Altalhi, S. Alshomrani, F. Herrera. Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications?. International Journal of Computational Intelligence Systems 10 (2017) 1211-1225. doi: 10.2991/ijcis.10.1.80
[2322] I. Triguero, S. González, J.M. Moyano, S. García, J. Alcalá-Fdez, J. Luengo, A. Fernández, M.J. del Jesús, L. Sánchez and F. Herrera. KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. International Journal of Computational Intelligence Systems 10 (2017) 1238-1249.
[2336] A. Fernandez, E. Almansa, F. Herrera. Chi-Spark-RS: An Spark-built evolutionary fuzzy rule selection algorithm in imbalanced classification for big data problems. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples (Italy), 1-6 July 9-12, 2017. doi: 10.1109/FUZZ-IEEE.2017.8015520
[2355] C. García-Martínez, P.D. Gutiérrez, D. Molina, M. Lozano, F. Herrera. Since CEC 2005 competition on realparameter optimisation: a decade of research, progress and comparative analysis's weakness. Soft Computing, 21:19 (2017) 5573-5583. doi: 10.1007/s00500-016-2471-9
[2356] A. Alonso-Betanzos, J.A. Gámez, F. Herrera, J.M. Puerta, J.C. Riquelme. Volume, variety and velocity in Data Science. Knowledge-Based Systems 117 (2017) 1-2. doi: 10.1016/j.knosys.2016.11.005
[2357] J.A. Gámez, F. Herrera, J.M. Puerta. Guest Editorial: Recent Trends in Intelligent Systems. International Journal of Intelligent Systems 32 (2) (2017) 107-108. doi: 10.1002/int.21831
[2358] X. Gou, H. Liao, Z. Xu, F. Herrera. Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures. Information Fusion 38 (2017) 22-34. doi: 10.1016/j.inffus.2017.02.008
[2359] H. Liao, L. Jiang, Z. Xu, J. Xu, F. Herrera. A linear programming method for multiple criteria decision making with probabilistic linguistic information. Information Sciences 415 (2017) 341-355. doi: 10.1016/j.ins.2017.06.035
[2360] Y. Dong, Z. Ding, L. Martínez, F. Herrera. Managing consensus based on leadership in opinion dynamics. Information Sciences 398 (2017) 187–205. doi: 10.1016/j.ins.2017.02.052
[2363] R. Montes, A.M. Sánchez, P. Villar, F. Herrera. A Decision Making model to evaluate the trust in Social Networks using HFLTS opinions. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples (Italy) july 9-12, 2017.
[2366] A. Valdivia, M.V. Luzón, F. Herrera. Sentiment Analysis in TripAdvisor. IEEE Intelligent Systems 32:4 (2017) 72-77. doi: 10.1109/MIS.2017.3121555
[2400] P. Morales, J. Luengo, L.P.F. Garcia, A.C. Lorena, A.C.P.L.F. de Carvalho and F. Herrera. The NoiseFiltersR Package: Label Noise Preprocessing in R. The R Journal 9:1 (2017) 219-228.
[2579] A. Valdivia, M.V. Luzón, F. Herrera. Neutrality in the sentiment analysis problem based on fuzzy majority. The 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples (Italy), 1-6, July 9-12, 2017. doi: 10.1109/FUZZ-IEEE.2017.8015751
[2594] J. Carrasco, S. García, M. M. Rueda, F. Herrera. rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests. 12th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2017), Lecture Notes in Computer Science (LNCS 10334) 281-292, Logroño, Spain, June 21-23, 2017. doi: 10.1007/978-3-319-59650-1_24
[2595] S. Ramírez-Gallego, B. Krawczyk, S. García, M. Wozniak, J.M. Benítez, F. Herrera. Fast Case-Based Reasoning for Large-Scale Streaming Classification. 8th International Conference of Pattern Recognition Systems (ICPRS 2017), Madrid (Spain), July 11-13, 2017. doi: 10.1049/cp.2017.0150
[2713] D. Molina, F. Moreno-Garcia, F. Herrera. ¿Existe una mejora continua entre los algoritmos ganadores de las competiciones de optimización real del IEEE CEC?. Actas del 12ª Metaheuristics International Conference, XII Congreso de Metaheurísticas, Algoritmos Evolutivos y Bio-inspirados (MAEB'2017), Barcelona (Spain), 771-780, 4-7 July, 2017.

2016 (43)

[1925] José A. Sáez, J. Luengo, F. Herrera. Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure. Neurocomputing 176 (2016) 26-35. doi: 10.1016/j.neucom.2014.11.086
[1924] José A. Sáez, M. Galar, J. Luengo, F. Herrera. INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control. Information Fusion 27 (2016) 505-636. doi: 10.1016/j.inffus.2015.04.002
[2107] D. Peralta, A. Herrera-Poyatos, F. Herrera. Un Estudio sobre el Preprocesamiento para Redes Neuronales Profundas y Aplicación sobre Reconocimiento de Dígitos Manuscritos. XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA), September 14-16, 2016.
[1896] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. IEEE Transaction on Cybernetics 46:3 (2016) 595-608. doi: 10.1109/TCYB.2015.2410143
[2079] D. Martin, J. Alcalá-Fdez, A. Rosete, F. Herrera. NICGAR: a Niching Genetic Algorithm to Mine a Diverse Set of Interesting Quantitative Association Rules. Information Sciences 355-356 (2016) 208-228. doi: 10.1016/j.ins.2016.03.039
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results, etc
[1964] J. Derrac, F. Chiclana, S. García, F. Herrera. Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets. Information Sciences 329 (2016) 144-163. doi: 10.1016/j.ins.2015.09.007
[1965] Y. Xu, F. Herrera, H. Wang. A distance-based framework to deal with ordinal and additive inconsistencies for fuzzy reciprocal preference relations. Information Sciences 380:20 (2016) 189-205. doi: 10.1016/j.ins.2015.08.034
[1966] J. Mendel, H. Hagras, H. Bustince Sola, F. Herrera. Comments on “Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: towards a wide view on their relationship”[2]. IEEE Transactions on Fuzzy Systems 24:1 (2016) 249-250. doi: 10.1109/TFUZZ.2015.2446508
[1968] N. Verbiest, J. Derrac, C. Cornelis, S. García, F. Herrera. Evolutionary Wrapper Approaches for Training Set Selection as Preprocessing Mechanism for Support Vector Machines: Experimental Evaluation and Support Vector Analysis. Applied Soft Computing 38 (2016) 10-22. doi: 10.1016/j.asoc.2015.09.006
[2070] A. Fernandez, M. Elkano, M. Galar, J.A. Sanz, S. Alshomrani, H. Bustince, F. Herrera. Enhancing Evolutionary Fuzzy Systems for Multi-Class Problems: Distance-based Relative Competence Weighting with Truncated Confidences (DRCW-TC). International Journal of Approximate Reasoning 73 (2016) 108-122. doi: 10.1016/j.ijar.2016.02.005
[1996] S. Ramírez-Gallego, S. García, H. Mouriño Talín, D. Martínez-Rego, V. Bolón-Canedo, A. Alonso-Betanzos, J. M. Benítez, F. Herrera. Data discretization: taxonomy and big data challenge. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 6:1 (2016) 5-21. doi: 10.1002/widm.1173
[2009] E. Ramentol, I. Gondres, S. Lajes, R. Bello, Y. Caballero, C. Cornelis, F. Herrera. Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm. Engineering Applications of Artificial Intelligence 48 (2016) 134-139. doi: 10.1016/j.engappai.2015.10.009
[2098] P. Morales, J. Luengo, F. Herrera. A First Study on the Use of Boosting for Class Noise Reparation. 11th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2016), Lecture Notes in Computer Science (LNCS) 9648, Seville (Spain), 549-559, April 18-20, 2016. doi: 10.1007/978-3-319-32034-2_46
[2011] B. Krawczyk, M. Galar, L. Jelén, F. Herrera. Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. Applied Soft Computing 38 (2016) 714-726. doi: 10.1016/j.asoc.2015.08.060
[2013] S. Vluymans, D. Sanchez-Tarrago, Y. Saeys, C. Cornelis, F. Herrera. Fuzzy Multi-Instance Classifiers. IEEE Transactions on Fuzzy Systems 24:6 (2016) 1395-1409. doi: 10.1109/TFUZZ.2016.2516582
[2014] S. García, J. Luengo, F. Herrera. Tutorial on practical tips of the most influential data preprocessing algorithms in data mining. Knowledge-Based Systems 98 (2016) 1–29. doi: 10.1016/j.knosys.2015.12.006
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes
[2015] R.M. Rodríguez, B. Bedregal, H. Bustince, Y.C. Dong, B. Farhadinia, C. Kahraman, L. Martínez, V. Torra, Y.J. Xu, Z.S. Xu, F. Herrera. A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making. Towards high quality progress. Information Fusion 29 (2016) 89-97. doi: 10.1016/j.inffus.2015.11.004
[2016] S. Vluymans, D. Sánchez-Tarragó, Y. Saeys, C. Cornelis, F. Herrera. Fuzzy rough classifiers for class imbalanced multi-instance data. Pattern Recognition 53 (2016) 36-45. doi: 10.1016/j.patcog.2015.12.002
[2017] H. Bustince, E. Barrenechea, M. Pagola, J. Fernandez, Z. Xu, B. Bedregal, J. Montero, H. Hagras, F. Herrera, B. De-Baets. A historical account of types of fuzzy sets and their relationships. IEEE Transactions on Fuzzy Systems 24:1 (2016) 179-194. doi: 10.1109/TFUZZ.2015.2451692
[2073] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. Ordering-Based Pruning for Improving the Performance of Ensembles of Classifiers in the Framework of Imbalanced Datasets. Information Sciences 354 (2016) 178-196. doi: 10.1016/j.ins.2016.02.056
[2075] D. Peralta, I. Triguero, S. García, F. Herrera, J.M. Benítez. DPD-DFF: A Dual Phase Distributed Scheme with Double Fingerprint Fusion for Fast and Accurate Identification in Large Databases. Information Fusion 32 (2016) 40–51. doi: 10.1016/j.inffus.2016.03.002
[2082] A. Fernandez, C.J. Carmona, M.J. del Jesus, F. Herrera. A View on Fuzzy Systems for Big Data: Progress and Opportunities. International Journal of Computational Intelligence Systems, 9:1 (2016), 69-80. doi: 10.1080/18756891.2016.1180820
[2085] A. Fernandez, F. Herrera. Evolutionary Fuzzy Systems: A Case Study in Imbalanced Classification. Fuzzy Logic and Information Fusion, Volume 339 of the series Studies in Fuzziness and Soft Computing (2016) 169-200. doi: 10.1007/978-3-319-30421-2_12
[2092] A. Fernandez, S. Río, F. Herrera. Sistemas de Clasificación Basados en Reglas Difusas para Big Data con MapReduce: Análisis de la Granularidad. XVIII Congreso Español sobre Tecnologías y Lógica Fuzzy. ESTYLF 2016, San Sebastián (Spain), 1-2, May 25-27, 2016.
[2094] A. Fernandez, M. Galar, E. Barrenechea, H. Bustince, F. Herrera. Ordering-Based Pruning for Improving the Performance of Ensembles of Classiers in the Framework of Imbalanced Datasets. XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), Salamanca (Spain), 1-2, September 14-16, 2016.
[2095] A. Fernandez, S. Río, F. Herrera. A First Approach in Evolutionary Fuzzy Systems based on the Lateral Tuning of the Linguistic Labels for Big Data Classification. 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver (Canada), 1-8, July 24-29, 2016.
[2099] I. Triguero, M. Galar, D. Merino, J. Maillo, H. Bustince, F. Herrera. Evolutionary Undersampling for Extremely Imbalanced Big Data Classification under Apache Spark. IEEE Congress on Evolutionary Computation (CEC 2016), Vancouver (Canada), 640-647, July 24-29. doi: 10.1109/CEC.2016.7743853
[2104] P. Villar, R. Montes, A.M. Sánchez, F. Herrera. Fuzzy-Citation-KNN: a fuzzy nearest neighbor approach for multi-instance classification. 2016 IEEE World Congress on Computational Intelligence (WCCI 2016). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver (Canada), pp.946-952, july 24-29, 2016.
[2109] B. Lacroix, D. Molina, F. Herrera. Region-based memetic algorithm with archive for multimodal optimisation. Information Sciences 367-368 (2016) 719-746. doi: 10.1016/j.ins.2016.05.049
[2138] I. Triguero, J. Maillo, J. Luengo, S. García, F. Herrera. From Big data to Smart Data with the K-Nearest Neighbours algorithm. The 2016 IEEE International Conference on Smart Data (SmartData 2016), Chengdu (China), Dec 16-19, 2016. doi: 10.1109/iThings-GreenCom-CPSCom-SmartData.2016.177
[2162] S. García, S. Ramírez-Gallego, J. Luengo, J.M. Benítez, F. Herrera. Big data preprocessing: methods and prospects. Big Data Analytics 1:9 (2016). doi: 10.1186/s41044-016-0014-0
[2164] Z-L. Zhang, B. Krawczyk, S. García, A. Rosales-Pérez, F. Herrera. Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data. Knowledge-Based Systems 106 (2016) 251-263. doi: 10.1016/j.knosys.2016.05.048
[2173] S. González, F. Herrera, S. García. Managing Monotonicity in Classification by a Pruned AdaBoost. 11th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2016). Lecture Notes in Computer Science book series (LNCS) 9648, Seville (Spain) 512-523. doi: 10.1007/978-3-319-32034-2_43
[2178] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. Discretización Multivariada basada en Selección de Puntos Evolutiva para Clasificación. XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), XI Symposio de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), September 14-16, 2016.
[2191] S. González, M. Lázaro, A.R. Figueiras-Vidal, S. García, F. Herrera. Intercambio de Clases de acuerdo a la Distancia al Enemigo más Cercano para Problemas con Clases altamente No Balanceadas. XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), III Jornadas de Fusión de la Información y ensembles (FINO), Salamanca (Spain), September 14-16, 2016.
[2216] R. Montes, A.M. Sánchez, P. Villar, F. Herrera. Aplicación del uso de valoraciones hesitant lingüísticas en una red social de economía colaborativa. Actas del XVIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2016). Donostia-San Sebastián (Spain), , pp. 96-97, 25-27 Mayo, 2016..
[2217] P. Villar, R. Montes, A.M. Sánchez, F. Herrera. Una aproximación difusa del vecino más cercano para clasificación multi-instancia. Actas del XVIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2016), Donostia-San Sebastián (Spain), pp. 224-225, 25-27 Mayo, 2016..
[2252] P.D. Gutiérrez, M. Lastra, J. Bacardit, J.M. Benítez, F. Herrera. GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs. Information Sciences 373, 165-182. doi: 10.1016/j.ins.2016.08.089
COMPLEMENTARY MATERIAL to the paper: experimental results and source codes
[2261] X. Yejun, L. Chen, R.M. Rodríguez, F. Herrera, H. Wang. Deriving the priority weights from incomplete hesitant fuzzy preference relations in group decision making. Knowledge-Based Systems 99 (2016) 71-78. doi: 0950-7051
[2267] R. M. Rodríguez, F. Herrera, X. Yejun, L. Martínez. Consistency of hesitant fuzzy preference relations. 12th International FLINS Conference, Roubaix (France), 56-61, August 24–26, 2016.
[2280] F.J. Baldán, S. Ramirez-Gallego, C. Bergmeir, J. M. Benitez-Sanchez, F. Herrera. A Forecasting Methodology for Workload Forecasting in Cloud Systems. Actas de la XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2016), VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA 2016), Salamanca (Spain), pp. 765-766, September 14-16, 2016.
[2367] D. Molina, F. Herrera. Descomposición Jerárquica no homogénea de nichos basados en regiones. Actas de las XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA, XI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016), Salamanca, 439-448, 13-16 Septiembre,2016.
[2371] R.M. Rodríguez, F. Herrera, Y. Xu, L. Martinez. Consistency of hesitant fuzzy preference relations. 12th International FLINS Conference, Roubaix (France), 56-61, August 24-26, 2016.

2015 (66)

[1699] J. Luengo, F. Herrera. An automatic extraction method of the domains of competence for learning classifiers using data complexity measures. Knowledge and Information Systems 42:1 (2015) 147-180. doi: 10.1007/s10115-013-0700-4
[1683] I. Triguero, S. García, F. Herrera. Self-Labeled Techniques for Semi-Supervised Learning: Taxonomy, Software and Empirical Study. Knowledge and Information Systems 42 (2015) 245-284. doi: 10.1007/s10115-013-0706-y
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes
[1734] V. López, S. Río, J.M. Benítez, F. Herrera. Cost-Sensitive Linguistic Fuzzy Rule Based Classification Systems under the MapReduce Framework for Imbalanced Big Data. Fuzzy Sets and Systems 258 (2015) 5-38. doi: 10.1016/j.fss.2014.01.015
[1769] I. Triguero, D. Peralta, J. Bacardit, S. García, F. Herrera. MRPR: A MapReduce Solution for Prototype Reduction in Big Data Classification. Neurocomputing 150 (2015), 331-345. doi: 10.1016/j.neucom.2014.04.078
[1788] I. Triguero, S. García, F. Herrera. SEG-SSC: A Framework based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification. IEEE Transactions on Cybernetics 45:4 (2015) 622-634. doi: 10.1109/TCYB.2014.2332003
[1790] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing 163 (2015) 3-16. doi: 10.1016/j.neucom.2014.08.091
[1811] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. DRCW-OVO: Distance-based Relative Competence Weighting Combination for One-vs-One Strategy in Multi-class Problems. Pattern Recognition 48 (2015) 28-42. doi: 10.1016/j.patcog.2014.07.023
[1813] S. Elhag, A. Fernandez, A. Bawakid, S. Alshomrani, F. Herrera. On the Combination of Genetic Fuzzy Systems and Pairwise Learning for Improving Detection Rates on Intrusion Detection Systems. Expert Systems with Applications 42:1 (2015) 193–202. doi: 10.1016/j.eswa.2014.08.002
[1814] J.A. Sanz, D. Bernardo, F. Herrera, H. Bustince, H. Hagras. A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications with Imbalanced Data. IEEE Transactions on Fuzzy Systems 23:4 (2015) 973-990. doi: 10.1109/TFUZZ.2014.2336263
[1815] Y. Dong, C.-C. Li, F. Herrera. An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level. Information Sciences 292 (2015) 27-38. doi: 10.1016/j.ins.2014.08.059
[1819] S. Alshomrani, A. Bawakid, S.-O. Shim, A. Fernandez, F. Herrera. A Proposal for Evolutionary Fuzzy Systems using Feature Weighting: Dealing with Overlapping in Imbalanced Datasets. Knowledge-Based Systems 73 (2015) 1-17. doi: 10.1016/j.knosys.2014.09.002
[1824] José A. Sáez, J. Luengo, Jerzy Stefanowski, F. Herrera. SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering. Information Sciences 291 (2015) 184-203. doi: 10.1016/j.ins.2014.08.051
COMPLEMENTARY MATERIAL to the paper
[1834] H. Bustince, J. Fernandez, H. Hagras, F. Herrera. Interval Type-2 Fuzzy Sets are generalization of Interval-Valued Fuzzy Sets: Towards a Wider view on their relationship. IEEE Transactions on Fuzzy Systems 23:5 (2015) 1876-1882. doi: 10.1109/TFUZZ.2014.2362149
[1843] M. Elkano, M. Galar, J.A. Sanz, A. Fernandez, E. Barrenechea, F. Herrera, H. Bustince. Enhancing multi-class classification in FARC-HD fuzzy classifier: On the synergy between n-dimensional overlap functions and decomposition strategies. IEEE Transactions on Fuzzy Systems 23:5 (2015) 1562-1580. doi: 10.1109/TFUZZ.2014.2370677
[1845] Y. Dong, X. Chen, F. Herrera. Minimizing adjusted simple terms in the consensus reaching process with hesitant linguistic assessments in group decision making. Information Sciences 297 (2015) 95–117. doi: 10.1016/j.ins.2014.11.011
[1846] E. Ramentol, S. Vluymans, N. Verbiest, Y. Caballero, R. Bello, C. Cornelis, F. Herrera. IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. IEEE Transactions on Fuzzy Systems 23:5 (2015) 1622-1637. doi: 10.1109/TFUZZ.2014.2371472
[1860] S. Río, V. López, J.M. Benítez, F. Herrera. A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules. International Journal of Computational Intelligence Systems 8:3 (2015) 422-437. doi: 10.1080/18756891.2015.1017377
[1863] A. Fernandez, V. López, M.J. del Jesus, F. Herrera. Revisiting Evolutionary Fuzzy Systems: Taxonomy, Applications, New Trends and Challenges. Knowlegde Based Systems 80 (2015) 109–121. doi: 10.1016/j.knosys.2015.01.013
[1890] M. Galar, J. Derrac, D. Peralta, I. Triguero, D. Paternain, C. Lopez-Molina, S. García, J.M. Benítez, M. Pagola, E. Barrenechea, H. Bustince, F. Herrera. A Survey of Fingerprint Classification Part I: Taxonomies on Feature Extraction Methods and Learning Models. Knowledge-Based Systems 81 (2015) 76-97. doi: 10.1016/j.knosys.2015.02.008
[1891] M. Galar, J. Derrac, D. Peralta, I. Triguero, D. Paternain, C. Lopez-Molina, S. García, J.M. Benítez, M. Pagola, E. Barrenechea, H. Bustince, F. Herrera. A Survey of Fingerprint Classification Part II: Experimental Analysis and Ensemble Proposal. Knowledge-Based Systems 81 (2015) 98-116. doi: 10.1016/j.knosys.2015.02.015
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes
[1897] Ning Xiong, D. Molina, Miguel Leon Ortiz, F. Herrera. A Walk into Metaheuristic for Engineering Optimization: Principles, Methods and Recent Trends. International Journal of Computational Intelligence Systems 8:4 (2015) 606-636. doi: 10.1080/18756891.2015.1046324
[1921] D. Peralta, M. Galar, I. Triguero, D. Paternain, S. García, E. Barrenechea, J. M. Benítez, H. Bustince, F. Herrera. A Survey on Fingerprint Minutiae-based Local Matching for Verification and Identification: Taxonomy and Experimental Evaluation. Information Sciences 315 (2015) 67-87. doi: 10.1016/j.ins.2015.04.013
COMPLEMENTARY MATERIAL to the paper: experimental results and statistical tests
[1926] I. Triguero, S. Río, V. López, J. Bacardit, J.M. Benítez, F. Herrera. ROSEFW-RF: The winner algorithm for the ECBDL'14 Big Data Competition: An extremely imbalanced big data bioinformatics problem. Knowledge-Based Systems 87 (2015) 69-79. doi: 10.1016/j.knosys.2015.05.027
[1929] L. Septem, C. Bergmeir, F. Herrera, J.M. Benítez. frbs: Fuzzy Rule-Based Systems for Classification and Regression in R. Statistical Software 65:6 (2015). doi: 10.18637/jss.v065.i06
[1930] I. Triguero, M. Galar, S. Vluymans, C. Cornelis, H. Bustince, F. Herrera, Y. Saeys. Evolutionary Undersampling for Imbalanced Big Data Classification. IEEE Congress on Evolutionary Computation (CEC 2015), Sendai (Japan), 715-722, May 25-28, 2015.
[1937] B. Krawczyk, M. Wozniak, F. Herrera. On the Usefulness of One-Class Classifier Ensembles for Decomposition of Multi-Class Problems. Pattern Recognition 48:12 (2015) 3969-3982. doi: 10.1016/j.patcog.2015.06.001
[1938] R. Montes, A.M. Sánchez, P. Villar, F. Herrera. A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets. Applied Soft Computing 35 (2015) 949-957. doi: 10.1016/j.asoc.2015.01.030
[1939] D. Peralta, S. Río, S. Ramírez-Gallego, I. Triguero, J.M. Benítez, F. Herrera. Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach. Mathematical Problems in Engineering, vol. 2015, Article ID 246139 (2015) 11 pages. doi: 10.1155/2015/246139
[1950] J. Maillo, I. Triguero, F. Herrera. A MapReduce-based k-Nearest Neighbor Approach for Big Data Classification. 9th International Conference on Big Data Science and Engineering (IEEE BigDataSE-15), Helsinki (Finland), 167-172, August 20-22, 2015.. doi: 10.1109/Trustcom.2015.577
[1951] D. Galpert, S. Río, F. Herrera, E. Ancede, A. Antunes, G. Agüero-Chapin. An Effective Big Data Supervised Imbalanced Classification Approach for Ortholog Detection in Related Yeast Species. BioMed Research International (2015) 12 pages, Article Id 748681. doi: 10.1155/2015/748681
[1952] S. Río, J.M. Benítez, F. Herrera. Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification. The 9th IEEE International Conference on Big Data Science and Engineering(IEEE BigDataSE-15), Helsinki, Finland, 20-22 August, 2015.
[1958] P. Villar, A. Fernández, R. Montes, A.M. Sánchez, F. Herrera. Improving the OVO performance in fuzzy rule-based classification systems by the genetic learning of the granularity level. 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Estambul (Turkey) august 2-5, 2015.
[1963] L.P.F. Garcia, José A. Sáez, J. Luengo, A.C. Lorena, A.C. de Carvalho, F. Herrera. Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems. Knowledge-Based Systems 90 (2015) 153-164. doi: 10.1016/j.knosys.2015.09.023
[1967] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. MLSMOTE: Approaching Imbalanced Multilabel Learning Through Synthetic Instance Generation. Knowledge-Based Systems 89 (2015) 385-397. doi: 10.1016/j.knosys.2015.07.019
[1980] S. González, F. Herrera, S. García. Monotonic Random Forest with an Ensemble Pruning Mechanism based on the Degree of Monotonicity. New Generation Computing 33:4 (2015) 367-388. doi: 10.1007/s00354-015-0402-4
[1981] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. DRCW-OVO: Distance-based Relative Competence Weighting Combination for One-vs-One Strategy in Multi-class Problems. V Symposium of Fuzzy Logic and Soft Computing (LODISCO 2015) - CAEPIA 2015, Albacete (España), pp. 1-2, 09-12 Noviembre 2015.
[1982] A. Fernandez, M. Elkano, M. Galar, J.A. Sanz, H. Bustince, F. Herrera. Mejorando los Sistemas Difusos Evolutivos para Problemas Multi-Clase: Ponderando la Competencia en el Modelo Uno-contra-Uno con Truncado de las Confianzas. II Symposium on Information Fusion and ensembles (FINO 2015) - CAEPIA 2015, Albacete (España), pp. 1-10, 09-12 Noviembre 2015.
[1983] M. Galar, A. Fernández, E. Barrenechea, H. Bustince, F. Herrera. Nuevas Metricas sobre Poda basada en Orden para Ensembles de Clasicadores en Conjuntos de Datos No Balanceados. II Symposium on Information Fusion and ensembles (FINO 2015) - CAEPIA 2015, Albacete (España), pp. 1-10, 09-12 Noviembre 2015.
[1984] A. Fernandez, M. Galar, J.A. Sanz, H. Bustince, O. Cordón, F. Herrera. On the Impact of Distance-based Relative Competence Weighting Approach in One-vs-One Classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm. 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Estambul (Turquía) pp. 15124-15131, 02-05 Agosto 2015.
[1989] D. Peralta, I. Triguero, Y. Saeys, S. García, J.M. Benítez, F. Herrera. Clasificación Jerárquica de Huellas Dactilares con Selección de Características. VII Symposium of Theory and Applications of Data Mining (TAMIDA), CAEPIA 2015, Albacete (España), pp. 831-840, 09-12 Noviembre 2015.
[1988] S. Río, J.M. Benítez, F. Herrera. Preprocesamiento de Datos mediante el Incremento de la Tasa de Sobremuestreo para Problemas de Big Data Extremadamente Desbalanceados. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2015), Albacete (Spain), 10 pages, 9-12 November, 2015.
[1999] A. Fernandez, M.J. del Jesus, F. Herrera. Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection. 16th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2015), Lecture Notes in Computer Science (LNCS) 9375, Wroclaw (Poland), 36-44, October 14-16, 2015.
[2000] A. Fernandez, M. Galar, J.A. Sanz, H. Bustince, F. Herrera. Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection. 16th World Congress of the International Fuzzy Systems Association (IFSA), 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), Gijón (Spain) 1020-1026, June 30, July 03, 2015.
[2001] P. Villar, A. Fernandez, F. Herrera. On the combination of pairwise and granularity learning for improving fuzzy rule based classication systems: GL-FARCHD-OVO. 9th International Conference on Computer Recognition Systems (CORES 2015), Wroclaw (Poland), 1-8, May 25-27, 2015.
[2002] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. New Ordering-Based Pruning Metrics for Ensembles of Classiers in Imbalanced Datasets. 9th International Conference on Computer Recognition Systems (CORES 2015), Wroclaw (Poland), 1-8, May 25-27, 2015.
[2003] J. Maillo, I. Triguero, F. Herrera. Un enfoque MapReduce del algoritmo de clasificación k-vecinos más cercanos para Big Data. 1er Workshop en Big Data y Análisis de Datos Escalable (BigDADE I), Albacete (España), 9-12 noviembre 2015.
[2012] L. Martinez, R.M. Rodriguez, F. Herrera. The 2-tuple Linguistic Model: Computing with Words in Decision Making. Springer (2015).
[2048] F. Herrera, E. Herrera-Viedma, L. Martínez. Computing with Words for Decision Making Versus Linguistic Decision Making: A Reflection on both Scenarios. Enric Trillas: A Passion for Fuzzy Sets. A Collection of Recent Works on Fuzzy Logic. ISBN: 978-3-319-16234-8.. doi: 10.1007/978-3-319-16235-5_19
[2056] M. Lastra, J. Carabaño, P.D. Gutiérrez, J.M. Benítez, F. Herrera. Fast fingerprint identification using GPUs. Information Sciences. 301 (2015) 195-214. doi: doi:10.1016/j.ins.2014.12.052
[2057] S. González, F. Herrera, S. García. Managing Monotonicity in Classification by a Pruned Random Forest. Intelligent Data Engineering and Automated Learning (IDEAL 2015), Lecture Notes in Computer Science (LNCS) 9375, 53-60, 2015. doi: 10.1007/978-3-319-24834-9_7
[2058] M. Lázaro, F. Herrera, A.R. Figueiras-Vidal. Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks. Engineering Applications of Neural Networks. Volume 517 of the series Communications in Computer and Information Science pp 304-314 (2015). doi: 10.1007/978-3-319-23983-5_28
[2060] S. García, J. Luengo, F. Herrera. Data Preprocessing in Data Mining. Intelligent Systems Reference Library. Series Editors: Kacprzyk, Janusz, Jain, Lakhmi C. ISSN: 1868-4394.
[2061] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing 163 (2015) 3-16. doi: doi:10.1016/j.neucom.2014.08.091
[2062] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. QUINTA: A question tagging assistant to improve the answering ratio in electronic forums. EUROCON 2015 - International Conference on Computer as a Tool (EUROCON), IEEE. 8-11 Sept. 2015 Slamanca. 1-6. doi: 10.1109/EUROCON.2015.7313677
[2063] S. Ramírez-Gallego, S. Garcia, H. Mourino-Talin, D. Martinez-Rego, V. Bolon-Canedo, A. Alonso-Betanzos, J.M. Benítez, F. Herrera. Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. 9th International Conference on Big Data Science and Engineering (IEEE BigDataSE-15), Helsinki (Finland), 33-40, August 20-22, 2015. doi: 10.1109/Trustcom.2015.559
[2064] R.M. Rodriguez, L. Martinez, F. Herrera. A linguistic 2-tuple multicriteria decision making model dealing with hesitant linguistic information. Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on Istanbul. 2-5 Aug. 2015. 1-7. doi: 10.1109/FUZZ-IEEE.2015.7338016
[2065] J. Derrac, F. Chiclana, S. García, F. Herrera. An Interval Valued K-Nearest Neighbors Classifier. Proceedings of the International Joint Conference IFSA-EUSFLAT-2015, Gijón, Asturias (Spain). doi: doi:10.2991/ifsa-eusflat-15.2015.55
[2066] F. Herrera. Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels. Hybrid Artificial Intelligent Systems: 10th International Conference, HAIS 2015, Bilbao, Spain, June 22-24, 2015.
[2067] D. Molina, F. Herrera. Iterative hybridization of DE with local search for the CEC'2015 special session on large scale global optimization. Evolutionary Computation (CEC), 2015 IEEE Congress on Sendai. 25-28 May 2015 1974-1978. doi: 10.1109/CEC.2015.7257127
[2069] D. Galpert, S. Río, F. Herrera, E. Ancede, A. Antunes, G. Agüero-Chapin. Pairwise Ortholog Detection in Related Yeast Species by Using Big Data Supervised Classifications. MOL2NET, the 1st International Conference on Multidisciplinary Sciences, Sciforum Electronic Conference Series, Vol. 1, 1-10, December 5–15, 2015. doi: 10.3390/MOL2NET-1-e002
[2168] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. In: Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Advances in Intelligent Systems and Computing, vol 403. Springer, Cham. doi: 10.1007/978-3-319-26227-7_5
[2175] S. Ramírez-Gallego, H. Mouriño-Talín, D. Martínez-Rego, V. Bolón-Canedo, J. M. Benítez, A. Alonso-Betanzos, F. Herrera. Un Framework de Selección de Características basado en la Teoría de la Información para Big Data sobre Apache Spark. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), 1er Workshop en Big Data y Análisis de Datos Escalable, November 9-12, 2015.
[2185] F. Rojas Ruiz, A. Cano, M. Gomez Olmedo, J. Ortega Lopera, F. Herrera, R. Romero Zaliz, J. Gonzalez Peñalver. Máster en Ciencia de Datos e Ingeniería de Computadores: una apuesta por la formación especializada en el sector de las TIC. Journal of Educational Experiences on Computer Engineering (JEECE), Volumen 5, Numero 1, pp. 5-16, 2015, ISSN 2173-8688, Universidad de Granada, Departamento de Arquitectura y Tecnologia de Computadoras.
[2192] S. González, F. Herrera, S. García. Clasificación Monotónica mediante poda de Bosques Aleatorios. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), Albacete (Spain), November 9-12, 2015.
[2255] P.D. Gutiérrez, M. Lastra, J. Bacardit, J.M. Benítez, F. Herrera. GPU-SME-kNN: kNN escalable y eficiente en memoria utilizando GPU. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2015), Albacete (Spain), pp. 959-968, 09-12 November, 2015.
[2877] D. Martín, M. Martínez-Ballesteros, S. Río, J. Alcalá-Fdez, J. Riquelme, F. Herrera. MOPNAR-BigData: un diseno MapReduce para la extracción de reglas de asociación cuantitativas en problemas de Big Data. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2015), 979-989, November 9-12, 2015.

2014 (46)

[1698] J. Derrac, S. García, F. Herrera. Fuzzy Nearest Neighbor Algorithms: Taxonomy, Experimental analysis and Prospects . Information Sciences 260 (2014) 98-119. doi: 10.1016/j.ins.2013.10.038
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes
[1557] José A. Sáez, M. Galar, J. Luengo, F. Herrera. Analyzing the Presence of Noise in Multi-class Problems: Alleviating its Influence with the One-vs-One Decomposition. Knowledge and Information Systems 38:1 (2014) 179-206. doi: 10.1007/s10115-012-0570-1
COMPLEMENTARY MATERIAL to the paper
[1588] V. López, I. Triguero, C.J. Carmona, S. García, F. Herrera. Addressing Imbalanced Classification with Instance Generation Techniques: IPADE-ID. Neurocomputing 126 (2014) 15-28. doi: 10.1016/j.neucom.2013.01.050
[1642] I. Palomares, L. Martínez, F. Herrera. A Consensus Model to Detect and Manage Non-Cooperative Behaviors in Large Scale Group Decision Making. IEEE Transactions on Fuzzy Systems 22:3 (2014) 516–530. doi: 10.1109/TFUZZ.2013.2262769
[1646] I. Triguero, José A. Sáez, J. Luengo, S. García, F. Herrera. On the Characterization of Noise Filters for Self-Training Semi-Supervised in Nearest Neighbor Classification. Neurocomputing 132 (2014) 30-41. doi: 10.1016/j.neucom.2013.05.055
[1659] I. Palomares, L. Martínez, F. Herrera. MENTOR: A Graphical Monitoring Tool of Preferences Evolution in Large-Scale Group Decision Making. Knowledge-based Systems 58 (2014) 66–74. doi: 10.1016/j.knosys.2013.07.003
[1670] D. Peralta, I. Triguero, R. Sanchez-Reillo, F. Herrera, J.M. Benítez. Fast Fingerprint Identification for Large Databases. Pattern Recognition 47:2 (2014) 588–602. doi: 10.1016/j.patcog.2013.08.002
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes
[1672] V. López, A. Fernandez, F. Herrera. On the Importance of the Validation Technique for Classification with Imbalanced Datasets: Addressing Covariate Shift when Data is Skewed. Information Sciences 257 (2014) 1-13. doi: 10.1016/j.ins.2013.09.038
[1673] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera. QAR-CIP-NSGA-II: A New Multi-Objective Evolutionary Algorithm to Mine Quantitative Association Rules. Information Sciences 258 (2014) 1-28. doi: 10.1016/j.ins.2013.09.009
[1674] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera. A New Multi-Objective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules. IEEE Transactions on Evolutionary Computation 18:1 (2014) 54-69. doi: 10.1109/TEVC.2013.2285016
[1708] F. Charte Ojeda, A. Rivera, M.J. del Jesus, F. Herrera. LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multi-label Classification. IEEE Transactions on Neural Networks and Learning Systems, 25:10 (2014) 1842-1854. doi: 10.1109/TNNLS.2013.2296501
[1742] S. Río, V. López, J.M. Benítez, F. Herrera. On the use of MapReduce for Imbalanced Big Data using Random Forest. Information Sciences 285 (2014) 112-137. doi: 10.1016/j.ins.2014.03.043
COMPLEMENTARY MATERIAL to the paper
[1703] P.D. Gutiérrez, M. Lastra, F. Herrera, J.M. Benítez. A high performance fingerprint matching system for large databases based on GPU. IEEE Transactions on Information Forensics and Security 9:1 (2014) 62-71. doi: 10.1109/TIFS.2013.2291220
[1706] B. Lacroix, D. Molina, F. Herrera. Region based memetic algorithm for real-parameter optimisation. Information Sciences, 262 (2014) 15-31. doi: 10.1016/j.ins.2013.11.032
[1709] M, Galar, A. Fernandez, E. Barrenechea, F. Herrera. Empowering difficult classes with a Similarity-based aggregation in multi-class classification problems. Information Sciences 264 (2014) 135-157. doi: 10.1016/j.ins.2013.12.053
[1716] P. Villar, A.M. Sánchez, R. Montes, F. Herrera. Diseño de un Sistema de Clasificación Basado en Reglas Difusas para one-class mediante el aprendizaje genético de la base de datos. Actas del XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014), Zaragoza (Spain), pp. 621-626, 5-7 Febrero, 2014.
[1791] José A. Sáez, J. Derrac, J. Luengo, F. Herrera. Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers. Pattern Recognition 47:12 (2014) 3941–3948. doi: 10.1016/j.patcog.2014.06.012
COMPLEMENTARY MATERIAL to the paper
[1732] M.J. Gacto, M. Galende, R. Alcalá, F. Herrera. METSK-HDe: A Multiobjective Evolutionary Algorithm to learn accurate TSK-fuzzy Systems in High-Dimensional and Large-Scale Regression Problems. Information Sciences 276 (2014) 63-79. doi: 10.1016/j.ins.2014.02.047
[1736] D.S. Tarragó, C. Cornelis, R. Bello, F. Herrera. A Multi-Instance Learning Wrapper based on the Rocchio Classifier for Web Index Recommendation. Knowledge-Based Systems 59 (2014) 173-181. doi: 10.1016/j.knosys.2014.01.008
[1740] D. Peralta, M. Galar, I. Triguero, O. Miguel-Hurtado, J.M. Benítez, F. Herrera. Minutiae Filtering to Improve Both Efficacy and Efficiency of Fingerprint Matching Algorithms. Engineering Applications of Artificial Intelligence, 32 (2014) 37-53. doi: 10.1016/j.engappai.2014.02.016
[1741] Nicolás Robinson-García, Daniel Torres-Salinas, Emilio Delgado López-Cózar, F. Herrera. An insight into the importance of national university rankings in an international context: The case of the I-UGR Rankings of Spanish universities. Scientometrics 101 (2014) 1309–1324. doi: 10.1007/s11192-014-1263-1
[1763] R.M. Rodríguez, L. Martínez, V. Torra, Z.S. Xu, F. Herrera. Hesitant Fuzzy Sets: State of the Art and Future Directions. International Journal of Intelligent Systems 29 (2014) 495-524. doi: 10.1002/int.21654
[1764] I. Palomares, F.J. Estrella, L. Martínez, F. Herrera. Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study. Information Fusion 20 (2014) 252-271. doi: 10.1016/j.inffus.2014.03.002
[1766] C.J. Carmona, P. González, M.J. del Jesus, F. Herrera. Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms. WIREs Data Mining Knowledge Discovevery 4 (2014), 87-103. doi: 10.1002/widm.1118
[1772] V. Bolón-Canedo, N. Sánchez-Maroño, A. Alonso-Betanzos, J.M. Benítez, F. Herrera. A review of microarray datasets and applied feature selection methods. Information Sciences 282 (2014) 111-135. doi: 10.1016/j.ins.2014.05.042
[1773] N. Verbiest, E. Ramentol, C. Cornelis, F. Herrera. Preprocessing Noisy Imbalanced Datasets using SMOTE enhanced with Fuzzy Rough Prototype Selection. Applied Soft Computing 22 (2014) 511-517. doi: 10.1016/j.asoc.2014.05.023
[1782] A. Fernandez, D. Peralta, J.M. Benítez, F. Herrera. E-learning and educational data mining in cloud computing: an overview. International Journal of Learning Technology, 9:1 (2014) 25-52.
[1789] F.J. Estrella, M. Espinilla, F. Herrera, L. Martínez. FLINTSTONES: A fuzzy linguistic decision tools enhancement suite based on the 2-tuple linguistic model and extensions. Information Sciences 280 (2014) 152-170. doi: 10.1016/j.ins.2014.04.049
[1792] José A. Sáez, J. Derrac, J. Luengo, F. Herrera. Improving the behavior of the nearest neighbor classifier against noisy data with feature weighting schemes. Hybrid Artificial Intelligent Systems 2014 (HAIS 2014), Lecture Notes in Computer Science Volume 8480, 2014, pp 597–606.
[1794] J. Derrac, S. García, S. Hui, P. N. Suganthan, F. Herrera. Analyzing convergence performance of evolutionary algorithms: A statistical approach. Information Sciences 289 (2014) 41-58. doi: 10.1016/j.ins.2014.06.009
COMPLEMENTARY MATERIAL to the paper
[1803] V. López, S. Río, J.M. Benítez, F. Herrera. On the use of MapReduce to build Linguistic Fuzzy Rule Based Classification Systems for Big Data. 2014 IEEE World Congress on Computational Intelligence (WCCI 2014). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), Beijing (China), pp. 1905-1912, 6-11 July, 2014.
[1804] P. Villar, A.M. Sánchez, R. Montes, F. Herrera. Designing a compact Genetic Fuzzy Rule-Based System for One-Class Classification. 2014 IEEE World Congress on Computational Intelligence (WCCI 2014). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), Beijing (China), pp.2163-2170, july 6-11, 2014.
[1805] R. Montes, A.M. Sánchez, P. Villar, F. Herrera. Aplicación del uso de valoraciones hesitant lingüísticas para una consultora de inmuebles. Actas del XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014), Zaragoza (Spain), pp. 181-186, 5-7 Febrero, 2014.
[1806] I. Triguero, D. Peralta, J. Bacardit, S. García, F. Herrera. A Combined MapReduce-Windowing Two-Level Parallel Scheme for Evolutionary Prototype Generation. In Proceeding on the WCCI 2014 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionary Computation CEC'2014, Beijing (China), 6-11 July, pp. 3036-3043, 2014. doi: 10.1109/CEC.2014.6900490
[1807] B. Krawczyk, I. Triguero, S. García, M. Wozniak, F. Herrera. A First Attempt on Evolutionary Prototype Reduction for Nearest Neighbor One-Class Classification.. In Proceeding on the WCCI 2014 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionary Computation CEC'2014, Beijing (China), 6-11 July, pp 747-753, 2014.
[1809] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. Enhancing Difficult Classes in One-vs-One Classifier Fusion Strategy using Restricted Equivalence Functions. In Proceedings of the 17th International Conference on Information Fusion (FUSION'2014), SS07-DMKDIF, pp. 1-8 Salamanca (Spain), 7-10 July 2014.
[1810] A. Fernandez, S. Río, V. López, A. Bawakid, M.J. del Jesus, J.M. Benítez, F. Herrera. Big Data with Cloud Computing: An Insight on the Computing Environment, MapReduce and Programming Frameworks. WIREs Data Mining and Knowledge Discovery 4:5 (2014) 380-409. doi: 10.1002/widm.1134
[1812] D. Molina, B. Lacroix, F. Herrera. Influence of Regions on the Memetic Algorithm for the Special Session on Real-Parameter Single Objetive Optimisation. In Proceeding on the WCCI 2014 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionaty Computation CEC'2010, Beijing (China), 6-11 July, 2014, pp. 1633-1640..
[1816] M. Fazzolari, R. Alcalá, F. Herrera. A Multi-Objective Evolutionary Method for Learning Granularities based on Fuzzy Discretization to Improve the Accuracy-Complexity trade-off of Fuzzy Rule-Based Classification Systems: D-MOFARC Algorithm. Applied Soft Computing 24 (2014) 470-481.
[1817] L. S. Riza, Andrzej Janusz, C. Bergmeir, C. Cornelis, F. Herrera, Dominik Slezak, J.M. Benítez. Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". Information Sciences 287 (2014) 68-89.
[1818] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera. Un nuevo algoritmo Evolutivo Multi-Objetivo para la extracción de Reglas de Asociación Cuantitativas Positivas y Negativas. In: D.A. Pelta, R. Pérez, C. Cruz, J.L. Verdegay (eds.): Contribuciones en Soft Computing, Universidad de Granada, 2014, 1-16. ISBN 978-84-338-5672-2.
[1828] José A. Sáez, J. Luengo, Jerzy Stefanowski, F. Herrera. Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering. Intelligent Data Engineering and Automated Learning 2014 (IDEAL 2014), Lecture Notes in Computer Science Volume 8669, 2014, pp 61-68.
[1895] F. Herrera. Big data: Procesando los datos en la sociedad digital. Revista de Física 28:4 (2014) 40-44.
[2059] B. Krawczyk, M. Wozniak, F. Herrera. Weighted one-class classification for different types of minority class examples in imbalanced data. Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on Orlando, FL. 9-12 Dec. 2014. 337-344. doi: 10.1109/CIDM.2014.7008687
[2181] I. Triguero, S. García, F. Herrera, Y. Saeys. Improving disease prediction using unlabeled and synthetic samples. 9th Benelux Bioinformatics Conference, Bioinformatics: Integrating data, teams and disciplines. Novotel-Kirchberg (Luxembourg), December 8-9, 2014.
[2432] S. García, J. Derrac, S. Ramírez-Gallego, F. Herrera. On the statistical analysis of the parameters’ trend in a machine learning algorithm. Progress in Artificial Intelligence 3:1 (2014) 51-53. doi: 10.1007/s13748-014-0043-8

2013 (32)

[1700] I. Triguero, S. García, F. Herrera. Tri-Training con sobremuestreo para aprendizaje semi-supervisado. Actas de la XV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2013), Madrid (Spain), pp 149-158 , 17-20 Septiembre, 2013.
[1469] S. García, J. Luengo, José A. Sáez, V. López, F. Herrera. A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning. IEEE Transactions on Knowledge and Data Engineering 25:4 (2013) 734-750. doi: 10.1109/TKDE.2012.35
COMPLEMENTARY MATERIAL to the paper
[1539] José A. Sáez, J. Luengo, F. Herrera. Predicting Noise Filtering Efficacy with Data Complexity Measures for Nearest Neighbor Classification. Pattern Recognition 46:1 (2013) 355-364. doi: 10.1016/j.patcog.2012.07.009
COMPLEMENTARY MATERIAL to the paper
[1521] M. Fazzolari, R. Alcalá, Y. Nojima, H. Ishibuchi, F. Herrera. A Review of the Application of Multi-Objective Evolutionary Fuzzy Systems: Current Status and Further Directions. IEEE Transactions on Fuzzy Systems, 21:1 (2013) 45-65.
COMPLEMENTARY MATERIAL to the paper: links to the papers with doi, new contributions, etc
[1537] J. Derrac, N. Verbiest, S. García, C. Cornelis, F. Herrera. On the use of Evolutionary Feature Selection for Improving Fuzzy Rough Set Based Prototype Selection. Soft Computing 17:2 (2013) 223-238. doi: 10.1007/s00500-012-0888-3
[1554] V. López, A. Fernandez, M.J. del Jesus, F. Herrera. A Hierarchical Genetic Fuzzy System Based On Genetic Programming for Addressing Classification with Highly Imbalanced and Borderline Data-sets. Knowledge-Based Systems 38 (2013) 85-104. doi: 10.1016/j.knosys.2012.08.025
[1570] D. Torres-Salinas, N. Robinson-García, E. Jiménez-Contreras, F. Herrera, E. Delgado López-Cózar. On the Use of Biplot Analysis for Multivariate Bibliometric and Scientific Indicators. Journal of the American Society for Information Science and Technology 64:7 (2013) 1468-1479.
[1587] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. IVTURS: a linguistic fuzzy rule-based classification system based on a new Interval-Valued fuzzy reasoning method with TUning and Rule Selection. IEEE Transactions on Fuzzy Systems 21:3 (2013) 399-411. doi: 10.1109/TFUZZ.2013.2243153
[1594] A. Fernandez, V. López, M. Galar, M.J. del Jesus, F. Herrera. Analysing the Classification of Imbalanced Data-sets with Multiple Classes: Binarization Techniques and Ad-Hoc Approaches. Knowledge-Based Systems 42 (2013) 97-110. doi: 10.1016/j.knosys.2013.01.018
[1634] N. Verbiest, C. Cornelis, F. Herrera. FRPS: A Fuzzy Rough Prototype Selection method. Pattern Recognition 46:10 (2013) 2770-2782. doi: 10.1016/j.patcog.2013.03.004
[1635] R.M. Rodriguez, L. Martínez, F. Herrera. A Group Decision Making Model Dealing with Comparative Linguistic Expressions based on Hesitant Fuzzy Linguistic Term Sets. Information Sciences 241 (2013) 28–42. doi: 10.1016/j.ins.2013.04.006
[1641] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. EUSBoost: Enhancing Ensembles for Highly Imbalanced Data-sets by Evolutionary Undersampling. Pattern Recognition 46:12 (2013) 3460–3471. doi: j.patcog.2013.05.006
[1643] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. Dynamic Classifier Selection for One-vs-One Strategy: Avoiding Non-Competent Classifiers. Pattern Recognition 46:12 (2013) 3412–3424. doi: j.patcog.2013.04.018
[1651] D. Martín, A. Rosete, J. Alcalá-Fdez and F. Herrera. MOPNAR: Algoritmo Evolutivo Multi-Objetivo para Extraer Reglas de Asociación Cuantitativas Positivas y Negativas. Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2013), Madrid (España), pp. 882-891, 17-20 Septiembre, 2013.
[1655] José A. Sáez, M. Galar, J. Luengo, F. Herrera. Tackling the Problem of Classification with Noisy Data using Multiple Classifier Systems:Analysis of the Performance and Robustness. Information Sciences 247 (2013) 1-20. doi: 10.1016/j.ins.2013.06.002
COMPLEMENTARY MATERIAL to the paper
[1657] V. López, A. Fernandez, S. García, V. Palade, F. Herrera. An Insight into Classification with Imbalanced Data: Empirical Results and Current Trends on Using Data Intrinsic Characteristics. Information Sciences 250 (2013) 113-141. doi: 10.1016/j.ins.2013.07.007
COMPLEMENTARY MATERIAL to the paper
[1661] L.S. Riza, C. Bergmeir, F. Herrera, and J.M. Benítez. Constructing fuzzy rule-based systems with the R package frbs. Proceedings useR! 2013, July 10-12, Albacete (Spain).
[1663] B. Lacroix, D. Molina, F. Herrera. Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization. Evolutionary Computation (CEC), 2013 IEEE Congress on, Cancun (Mexico), pp 1945-1951. doi: 10.1109/CEC.2013.6557797
[1664] D. Molina, Amilkar Puris, Rafael Bello, F. Herrera. Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization. Actas en Evolutionary Computation (CEC), 2013 IEEE Congress on, Cancun (Mexico), pp 87-94. doi: 10.1109/CEC.2013.6557557
[1675] J. Derrac, S. García, Sheldon Hui , F. Herrera, Ponnuthurai N. Suganthan. Statistical Analysis of Convergence Performance Throughout the Evolutionary Search: A Case Study with SaDE-MMTS and Sa-EPSDE-MMTS. 2013 IEEE Symposium on Differential Evolution (SDE), Singapore, pp. 151-156, April 16-19, 2013.
[1676] M.J. Gacto, M. Galende, R. Alcalá, F. Herrera. Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad (India), pp. 1-7, 7-10 July 2013.
[1680] M. Fazzolari, B. Giglio, R. Alcalá, F. Marcelloni, F. Herrera. A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off. Knowledge-Based Systems 54 (2013) 32-41. doi: 10.1016/j.knosys.2013.07.011
[1682] M. Fazzolari, R. Alcalá, Y. Nojima, H. Ishibuchi, F. Herrera. Improving a Fuzzy Association Rule-Based Classification Model by Granularity Learning based on Heuristic Measures over Multiple Granularities. 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2013), pp. 44-51, 2013..
[1684] P. Villar, A.M. Sánchez, R. Montes, F. Herrera. Un Algoritmo Genético para aprendizaje de Sistemas de Clasificación Basados en Reglas Difusas dentro del paradigma one-class . Actas del IV Simposio sobre Lógica Fuzzy y Soft Computing, dentro del IV Congreso Español de Informática (CEDI 2013), Madrid (Spain), pp. 1105-1114, 17-20 de septiembre de 2013.
[1704] V. López, A. Fernandez, F. Herrera. Addressing Covariate Shift for Genetic Fuzzy Systems Classifiers: A Case of Study with FARC-HD for Imbalanced Datasets. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad (India), pp. 1-8, 7-10 July 2013.
[1705] S. Río, V. López, J.M. Benítez, F. Herrera. Aplicando Métodos de Aprendizaje Sensible al Coste para Mejorar Problemas de Big Data Extremadamente Desbalanceados Usando Random Forest. IV Congreso Español de Informática (CEDI 2013). XV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2013), Madrid (Spain), pp. 109-118, 17-20 September, 2013.
[1743] José A. Sáez, Mikel Galar, J. Luengo, F. Herrera. An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets. Hybrid Artificial Intelligent Systems 2013 (HAIS 2013), Lecture Notes in Computer Science Volume 8073, 2013, pp 568-577 .
[1748] N. Verbiest, C. Cornelis, F. Herrera. OWA-FRPS: A Prototype Selection method based on Ordered Weighted Average Fuzzy Rough Set Theory. Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2013), LNAI 8170, p. 180-190, 2013..
[1749] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. Selección dinámica de clasificadores para la estrategia Uno-contra-Uno: Evitando los clasificadores no competentes. FINO 2013 (CEDI 2013), Madrid (España), pp. 1469-1478, 17-20 Septiembre 2013.
[1750] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. Una debilidad de la estrategia Uno-contra-Uno en clasificación: Potenciando las clases difíciles. CAEPIA 2013 (CEDI 2013), Madrid (España), pp. 1333-1342, 17-20 Septiembre 2013.
[1793] J. G. Moreno-Torres, José A. Sáez, F. Herrera. A methodology to improve single-experimet k-fold Cross-Validation by reducing the impact of related dataset shift. In Proceedings of the IV Congreso Español de Informática (CEDI 2013). VI Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA 2013), Madrid (Spain), 1393-1402, 2013..
[1835] D. Molina, Amilkar Puris, Rafael Bello, F. Herrera. Optimización basada en Malla Variable para funciones multimodales. Actas de la Multiconferencia CAEPIA 2013, IX Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB13), Madrid, 17-20 Septiembre 2013, pp 594-603..

2012 (51)

[1425] J. G. Moreno-Torres, T. R. Raeder, R. Aláiz-Rodríguez, N. V. Chawla, F. Herrera. A unifying view on dataset shift in classification. Pattern Recognition 45:1 (2012) 521-530. doi: 10.1016/j.patcog.2011.06.019
[1241] E. Pérez, M. Posada, F. Herrera. Analysis of New Niching Genetic Algorithms for Finding Multiple Solutions in the Job Shop Scheduling. Journal of Intelligent Manufacturing 23:3 (2012) 341-356. doi: 10.1007/s10845-010-0385-4
[1328] M.J. Gacto, R. Alcalá, F. Herrera. A Multi-Objective Evolutionary Algorithm for an Effective Tuning of Fuzzy Logic Controllers in Heating, Ventilating and Air Conditioning Systems. Applied Intelligence 36:2 (2012) 330-347. doi: 10.1007/s10489-010-0264-x
[1336] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, G. Olague, F. Herrera. Hybrid Laser Pointer Detection Algorithm Based on Template Matching and Fuzzy Rule-Based Systems for Domotic Control in Real Home Enviroments. Applied Intelligence 36:2 (2012) 407-423. doi: 10.1007/s10489-010-0268-6
[1365] I. Triguero, J. Derrac, S. García, F. Herrera. A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification. IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews 42 (1) (2012) 86-100. doi: 10.1109/TSMCC.2010.2103939
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes
[1372] S. García, J. Derrac, I. Triguero, C.J. Carmona, F. Herrera. Evolutionary-Based Selection of Generalized Instances for Imbalanced Classification. Knowledge Based Systems 25:1 (2012) 3-12. doi: 10.1016/j.knosys.2011.01.012
[1408] J. Luengo, S. García, F. Herrera. On the choice of the best imputation methods for missing values considering three groups of classification methods. Knowledge and Information Systems 32:1 (2012) 77-108. doi: 10.1007/s10115-011-0424-2
COMPLEMENTARY MATERIAL to the paper: Software, data sets, results and methods description
[1409] S. García, J. Derrac, J.R. Cano, F. Herrera. Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study. IEEE Transactions on Pattern Analysis and Machine Intelligence 34:3 (2012) 417-435. doi: 10.1109/TPAMI.2011.142
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes
[1414] J. Marín, D. Molina, F. Herrera. Modeling Dynamics of a Real-coded CHC Algorithm in Terms of Dynamical Probability Distributions. Soft Computing 16:2 (2012) 331-351. doi: 10.1007/s00500-011-0745-9
[1422] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. A Review on Ensembles for Class Imbalance Problem: Bagging, Boosting and Hybrid Based Approaches. IEEE Transactions on System, Man and Cybernetics - Part C: Applications and Reviews 42:4 (2012) 463-484. doi: 10.1109/TSMCC.2011.2161285
[1428] J. Derrac, C. Cornelis, S. García, F. Herrera. Enhancing Evolutionary Instance Selection Algorithms by means of Fuzzy Rough Set based Feature Selection. Information Sciences 186:1 (2012) 73-92. doi: 10.1016/j.ins.2011.09.027
[1429] J. Luengo, F. Herrera. Shared Domains of Competence of Approximative Models using Measures of Separability of Classes. Information Sciences 185:1 (2012) 43-65. doi: 10.1016/j.ins.2011.09.022
[1430] J. Luengo, José A. Sáez, F. Herrera. Missing data imputation for Fuzzy Rule Based Classification Systems. Soft Computing 16 (2012) 863–881. doi: 10.1007/s00500-011-0774-4
[1431] R.M. Rodríguez, L. Martínez, F. Herrera. Hesitant Fuzzy Linguistic Terms Sets for Decision Making. IEEE Transactions on Fuzzy Systems 20:1 (2012) 109-119. doi: 10.1109/TFUZZ.2011.2170076
[1432] M.J. Cobo, A.G. López-Herrera, F. Herrera, E. Herrera-Viedma. A Note on the ITS Topic Evolution in the Period 2000–2009 at T-ITS. IEEE Transactions on Intelligent Transportation Systems, 13:1, pp. 413-420 (2012). doi: 10.1109/TITS.2011.2167968
[1433] Amilkar Puris, Rafael Bello, D. Molina, F. Herrera. Variable mesh optimization for continuous optimization problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications (2012), 16(3), 511-525. doi: 10.1007/s00500-011-0753-9
[1434] E. Ramentol, Y. Caballero, R. Bello, F. Herrera. SMOTE-RSB*: A Hybrid Preprocessing Approach based on Oversampling and Undersampling for High Imbalanced Data-Sets using SMOTE and Rough Sets Theory. Knowledge and Information Systems 33:2 (2012) 245-265. doi: 10.1007/s10115-011-0465-6
[1442] H. Bustince, M. Pagola, R. Mesiar, E. Hullermeier, F. Herrera. Grouping, Overlap and Generalized Bi-Entropic Functions for Fuzzy Modeling of Pairwise Comparisons. IEEE Transactions on Fuzzy Systems 20:3 (2012) 405-415. doi: 10.1109/TFUZZ.2011.2173581
[1452] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, F. Herrera. Aprendizaje Evolutivo de un Sistema Basado en Reglas Difusas para un Sistema de Control de Entrono por Medio de Puntero Láser. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 265-270, 1-3 Febrero 2012.
[1478] M.J. Gacto, R. Alcalá, F. Herrera. Aprendizaje Evolutivo De Sistemas Aproximativos De Tipo TSK Para Problemas De Alta Dimensionalidad. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 295-300, 1-3 Febrero 2012.
[1485] V. López, A. Fernandez, J. G. Moreno-Torres, F. Herrera. Analysis of preprocessing vs. cost-sensitive learning for imbalanced classiﬁcation. Open problems on intrinsic data characteristics. Expert Systems with Applications 39:7 (2012) 6585-6608. doi: 10.1016/j.eswa.2011.12.043
[1496] N. Verbiest, C. Cornelis, F. Herrera. Selección de Prototipos Basada en Conjuntos Rugosos Difusos. Proceedings of XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF2012).
[1501] V. López, A. Fernandez, M.J. del Jesus, F. Herrera. Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM2012), Vilamoura (Portugal), pp. 98-107, 6-8 February 2012.
[1500] V. López, A. Fernandez, M.J. del Jesus, F. Herrera. Un sistema de clasificación basado en reglas difusas jerárquico con programación genética para problemas de clasificación altamente no balanceados. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (Spain), pp. 313-318, 1-3 February 2012.
[1498] José A. Sáez, J. Luengo, F. Herrera. Sistemas de clasificación basados en reglas difusas y sistemas nítidos robustos entrenados en presencia de ruido de clase: un caso de estudio. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 602-607, 1-3 Febrero 2012.
[1504] J. Derrac, S. García, D. Molina, F. Herrera. Un tutorial sobre el uso de test estadísticos no paramétricos en comparaciones múltiples de metaheurísticas y algoritmos evolutivos. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 455-462, Febrero 8-10, 2012.
[1502] I. Triguero, J. Derrac, S. García, F. Herrera. Evolución Diferencial para Reducción de Prototipos y Ponderación de Características. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 267-274, Febrero 8-10, 2012.
[1503] P.D. Gutiérrez, I. Triguero, F. Herrera. Algoritmos Basados en Nubes de Partículas y Evolución Diferencial para el Problema de Optimización Continua: Un estudio experimental. Actas del VIII Congreso Español sobre Metaheurística, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 144-156, Febrero 8-10, 2012.
[1505] S. García, V. López, J. Luengo, C.J. Carmona, F. Herrera. A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM2012), Vilamoura (Portugal), pp. 211-216, 6-8 February 2012.
[1509] D. Molina, B. Lacroix, F. Herrera. Algoritmo Memético con regiones basado en encadenamiento de búsquedas locales. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 205-210, Febrero 8-10, 2012.
[1512] M.J. Cobo, A.G. López-Herrera, E. Herrera-Viedma, F. Herrera. SciMAT: A new Science Mapping Analysis Software Tool. Journal of the American Society for Information Science and Technology 63:8, pp. 1609-1630 (2012) . SciMAT's website here. doi: 10.1002/asi.22688
[1536] B. Giglio, F. Marcelloni, M. Fazzolari, R. Alcalá, F. Herrera. A Case Study on the Application of Instance Selection Techniques for Genetic Fuzzy Rule-Based Classifiers. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012), Brisbane (Australia), pp. 920-927, 10-15 June 2012.
[1514] J. Derrac, I. Triguero, S. García, F. Herrera. Integrating Instance Selection, Instance Weighting and Feature Weighting for Nearest Neighbor Classifiers by Co-evolutionary Algorithms. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics 42:5 (2012) 1383-1397. doi: 10.1109/TSMCB.2012.2191953
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes
[1516] J. Derrac, I. Triguero, S. García, F. Herrera. A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection. In Proceedings of the Seventh International Conference on Hybrid Artificial Intelligence Systems (HAIS 2012), March 28-30, Salamanca (Spain), Lecture Notes in Computer Science 7209, 176-187.
[1517] José A. Sáez, M. Galar, J. Luengo, F. Herrera. A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees. In Proceedings of the Seventh International Conference on Hybrid Artificial Intelligence Systems (HAIS 2012), March 28-30, Salamanca (Spain), Lecture Notes in Computer Science 7209, 25-35.
[1518] J. A. García, R. Rodriguez-Sánchez, J. Fdez-Valdivia, D. Torres-Salinas, F. Herrera. Ranking of research output of universities on the basis of the multidimensional prestige of influential fields: Spanish universities as a case of study. Scientometrics 93:3 (2012) 681-698. doi: 10.1007/s11192-012-0740-7
[1519] L. Martínez, F. Herrera. An overview on the 2-tuple linguistic model for Computing with Words in Decision Making: Extensions, applications and challenges. Information Sciences 207 (2012) 1-18. doi: 10.1016/j.ins.2012.04.025
[1522] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. IIVFDT: Ignorance Functions based Interval-Valued Fuzzy Decision Tree with Genetic Tuning. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20:2 (2012) 1-30. doi: 10.1142/S0218488512500195
[1523] P. Villar, A. Fernandez, R.A. Carrasco, F. Herrera. Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classication Systems for Highly Imbalanced Data-Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20:3 (2012) 369-397. doi: S0218488512500195
[1530] I. Triguero, J. Derrac, S. García, F. Herrera. Integrating a Differential Evolution Feature Weighting scheme into Prototype Generation. Neurocomputing 97 (2012) 332-343. doi: 10.1016/j.neucom.2012.06.009
[1532] A. Fernandez, F. Herrera. Linguistic Fuzzy Rules in Data Mining: Follow-Up Mamdani Fuzzy Modeling Principle. In: Enric Trillas, Piero P. Bonissone, Luis Magdalena and Janusz Kacprzyk (eds.): Combining Experimentation and Theory A Hommage to Abe Mamdani. Studies in Fuzziness and Soft Computing 271, (2012) 103-122.
[1538] J. G. Moreno-Torres, José A. Sáez, F. Herrera. Study on the Impact of Partition-Induced Dataset Shift on k-fold Cross-Validation. IEEE Transactions on Neural Networks and Learning Systems 23:8 (2012) 1304-1312. doi: 10.1109/TNNLS.2012.2199516
COMPLEMENTARY MATERIAL to the paper
[1540] R.M. Rodríguez, L. Martínez, F. Herrera. Group Decision Making with Comparative Linguistic Terms. In Proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2012) Part I, July 9-13, Catania (Italy), Communications in Computers and Information Science 297, 181-190.
[1541] R.M. Rodríguez, L. Martínez, F. Herrera. Modelo Lingüístico de Toma de Decisiones Multicriterio con Expresiones Lingüísticas Comparativas. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 217-223, 1-3 Febrero 2012.
[1542] D. Docampo, F. Herrera, T. Luque-Martínez, D. Torres-Salinas. Efecto de la agregación de universidades españolas en el Ranking de Shanghai (ARWU): caso de las comunidades autónomas y los campus de excelencia. El profesional de la información 21:4 (2012) 428-432. doi: 10.3145/epi.2012.jul.16
[1545] A. Fernandez, S. Río, F. Herrera, J.M. Benítez. An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing. 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing (KMO'12), Salamanca (Spain), pp. 559-570, 11-13 July 2012.
[1546] A. Fernandez, D. Peralta, F. Herrera, J.M. Benítez. An Overview of E-Learning in Cloud Computing. Workshop on Learning Technology for Education in Cloud (LTEC'12), Salamanca (Spain), pp. 35-46, 11-13 Julio 2012.
[1547] B. Lacroix, D. Molina, F. Herrera. Region Based Memetic Algorithm with LS chaining. Actas en WCCI 2012 IEEE World Congress on Computational Intelligence, IEEE CEC, Brisbane (Australia), pp. 1474-1479, Junio 10-15, 2012..
[1548] A. Puris, R. Bello, D. Molina, F. Herrera. Optimising real parameters using the information of a mesh of solutions: VMO algorithm. Actas del WCCI 2012 IEEE World Congress on Computational Intelligence, IEEE CEC, Brisbane (Australia), pp. 2553-2559, June 10-15, 2012.
[1552] E. Ramentol, N. Verbiest, R. Bello, Y. Caballero, C. Cornelis, F. Herrera. SMOTE-FRST: A new resampling method using fuzzy rough set theory. The 10th International FLINS Conference on uncertainty Modeling in Knowledge Engineering and Decision Making, August 26-29, Istanbul, Turkey, pp. 800-805.
[1556] N. Verbiest, E. Ramentol, C. Cornelis, F. Herrera. Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data. Proceedings of the 13th Ibero-American Conference on Artificial Intelligence (IBERAMIA 2012), Lecture Notes in Artificial Intelligence (LNAI) 7637, pp. 169-178, Cartagena de Indias, (Colombia), November 13-16, 2012.

2011 (40)

[1276] J. Luengo, A. Fernandez, S. García, F. Herrera. Addressing Data Complexity for Imbalanced Data Sets: Analysis of SMOTE-based Oversampling and Evolutionary Undersampling. Soft Computing, 15 (10) (2011) 1909-1936. doi: 10.1007/s00500-010-0625-8
[1277] J. Alcalá-Fdez, A. Fernandez, J. Luengo, J. Derrac, S. García, L. Sánchez, F. Herrera. KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework. Journal of Multiple-Valued Logic and Soft Computing 17:2-3 (2011) 255-287.
SOFTWARE associated to the paper here
[1321] M.J. Cobo, A.G. López-Herrera, E. Herrera-Viedma, F. Herrera. An Approach for Detecting, Quantifying, and Visualizing the Evolution of a Research Field: A Practical Application to the Fuzzy Sets Theory Field. Journal of Informetrics 5:1, pp. 146-166 (2011). doi: 10.1016/j.joi.2010.10.002
[1323] D. Molina, M. Lozano, A.M. Sánchez, F. Herrera. Memetic Algorithms Based on Local Search Chains for Large Scale Continuous Optimisation Problems: MA-SSW-Chains . Soft Computing, 15 (2011) 2201-2220. doi: 10.1007/s00500-010-0647-2
[1324] F. Herrera, C.J. Carmona, P. González and M.J. del Jesus. An overview on Subgroup Discovery: Foundations and Applications . Knowledge and Information Systems 29:3 (2011) 495-525. doi: 10.1007/s10115-010-0356-2
[1327] I. Triguero, S. García, F. Herrera. Differential Evolution for Optimizing the Positioning of Prototypes in Nearest Neighbor Classification. Pattern Recognition 44 (4) (2011) 901-916. doi: 10.1016/j.patcog.2010.10.020
[1329] R. Alcalá, Y. Nojima, F. Herrera, H. Ishibuchi. Multiobjective Genetic Fuzzy Rule Selection of Single Granularity-Based Fuzzy Classification Rules and its Interaction with the Lateral Tuning of Membership Functions. Soft Computing 15:12 (2011) 2303-2318. doi: 10.1007/s00500-010-0671-2
[1342] S. García, J. Derrac, J. Luengo, C.J. Carmona, F. Herrera. Evolutionary Selection of Hyperrectangles in Nested Generalized Exemplar Learning. Applied Soft Computing 11:3 (2011) 3032-3045. doi: 10.1016/j.asoc.2010.11.030
[1345] A. Fernandez, V. López, M.J. del Jesus, F. Herrera. On the Usefulness of Fuzzy Rule Based Systems based on Hierarchical Linguistic Fuzzy Partitions. In: W. Pedrycz, S.-M. Chen (Eds.) Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type, ISRL 13, Springer (2011), pp. 155-184, ISBN: 978-3-642-19819-9.
[1368] D. Torres-Salinas, E. Delgado-López-Cózar, J G Moreno-Torres, F. Herrera. Rankings ISI de las universidades españolas según campos científicos: Descripción y resultados. El Profesional de la Información 20:1 (2011) 111-122.
[1371] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. An Overview of Ensemble Methods for Binary Classifiers in Multi-class Problems: Experimental Study on One-vs-One and One-vs-All Schemes. Pattern Recognition 44:8 (2011) 1761-1776. doi: 10.1016/j.patcog.2011.01.017
COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc
[1373] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. A Genetic Tuning to Improve the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of Ignorance and Lateral Position 52:6 (2011) 751-766. International Journal of Approximate Reasoning. doi: 10.1016/j.ijar.2011.01.011
[1374] J. Derrac, S. García, D. Molina, F. Herrera. A Practical Tutorial on the Use of Nonparametric Statistical Tests as a Methodology for Comparing Evolutionary and Swarm Intelligence Algorithms. Swarm and Evolutionary Computation 1:1 (2011) 3-18. doi: 10.1016/j.swevo.2011.02.002
COMPLEMENTARY MATERIAL to the paper: Software and tests description
[1375] M.J. Gacto, R. Alcalá, F. Herrera. Evolutionary Multi-Objective Algorithm to Effectively Improve the Performance of the Classic Tuning of Fuzzy Logic Controllers for a Heating, Ventilating and Air Conditioning System. 5th International Workshop On Genetic And Evolutionary Fuzzy Systems (GEFS 2011), pp. 73-80, 2011..
[1376] M.J. Cobo, A.G. López-Herrera, E. Herrera-Viedma, F. Herrera. Science Mapping Software Tools: Review, Analysis and Cooperative Study among Tools. Journal of the American Society for Information Science and Technology, 62:7, pp. 1382–1402 (2011). doi: 10.1002/asi.21525
[1380] R. Alcalá, M.J. Gacto, F. Herrera. A Fast and Scalable Multi-Objective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. IEEE Transactions on Fuzzy Systems 19:4 (2011) 666-681. doi: 10.1109/TFUZZ.2011.2131657
COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc
[1383] M.J. Gacto, R. Alcalá, F. Herrera. Interpretability of Linguistic Fuzzy Rule-Based Systems: An Overview of Interpretability Measures. Information Sciences, 181:20 (2011) 4340–4360.
COMPLEMENTARY MATERIAL to the paper: links to the papers with doi, new contributions, etc
[1384] E. Herrera-Viedma, F.J. Cabrerizo, I.J. Pérez, M.J. Cobo, S. Alonso, F. Herrera. Applying Linguistic OWA Operators in Consensus Models under Unbalanced Linguistic Information. In: R.R. Yager, J. Kacprzyk, G. Beliakov (Eds.): Recent developments in the ordered weighted averaging operators: theory and practice, Studies in Fuzziness and Soft Computing, Volume 265/2011, Springer (2011), pp. 167-186, ISBN: 978-3-642-17909-9.
[1385] A. Fernandez, S. García, F. Herrera. Addressing the Classication with Imbalanced Data: Open Problems and New Challenges on Class Distribution. 6th International Conference on Hybrid Artificial Intelligence Systems (HAIS2011). Wroclaw, Poland, 23-25 May 2011, pp. 1-10.
[1386] J. Sanz, A. Fernandez, M. Pagola, A. Brugos, H. Bustince, F. Herrera. A Case Study on Medical Diagnosis of Cardiovascular Diseases Using a Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets. T2FUZZ - 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (IEEE-SSCI 2011) pp. 9-15, Paris, France 11-15 April 2011.
[1387] M.J. Gacto, R. Alcalá, F. Herrera. A double axis classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems. 9th International Workshop on Fuzzy Logic and Applications (WILF 2011), LNAI 6857, pp. 99–106, 2011.
[1388] Francisco Fernández, Francisco Chávez, R. Alcalá, F. Herrera. Musical Genre Classification by means of Fuzzy Rules Based Systems: A preliminary approach. IEEE Congress on Evolutionary Computation (CEC 2011), New Orleans (Louisiana, USA), pp. 2681-2687, 5-8 June 2011.
[1400] F. Chávez, F. Fernandez, R. Alcalá, J. Alcalá-Fdez, F. Herrera. Evolutionary Learning of a Laser Pointer Detection Fuzzy System for an Environment Control System. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei (Taiwan), pp. 256-263, 27-30 June 2011.
[1402] J. Alcalá-Fdez, R. Alcalá, F. Herrera. A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems with Genetic Rule Selection and Lateral Tuning. IEEE Transactions on Fuzzy Systems 19:5 (2011) 857-872. doi: 10.1109/TFUZZ.2011.2147794
[1407] I. Triguero, S. García, F. Herrera. Enhancing IPADE Algorithm with a Different Individual Codification. 6th International Conference on Hybrid Artificial Intelligence Systems (HAIS2011). Wroclaw, Poland, 23-25 May 2011, LNAI 6679, pp. 262–270.
[1412] D. Torres-Salinas, J G Moreno-Torres, E. Delgado-López-Cózar, F. Herrera. A methodology for Institution-Field ranking based on a bidimensional analysis: the IFQ2A index. Scientometrics 88:3 (2011) 771-786.
[1413] J. Derrac, C. Cornelis, S. García, F. Herrera. A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. 11th International Work-Conference on Artificial Neural Networks (IWANN'11), Lecture Notes on Computer Science 6691, Torremolinos (Spain), pp. 174-182, June 8-10, 2011.
[1420] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. On the cooperation of Interval-Valued Fuzzy Sets and Genetic Tuning to Improve the Performance of Fuzzy Decision Trees. 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 1247-1254, Taipei (Taiwan) 27-30 June 2011.
[1421] P. Villar, A. Fernandez, F. Herrera. Studying the Behaviour of a Multiobjective Genetic Algorithm to Design Fuzzy Rule-Based Classification Systems for Imbalanced Data-sets. 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 1239-1246, Taipei (Taiwan) 27-30 June 2011.
[1439] I. Triguero, J. Derrac, S. García, F. Herrera. A Study of the Scaling up Capabilities of Stratified Prototype Generation. Third World Congress on Nature and Biologically Inspired Computing (NABIC'11), Salamanca (Spain), pp. 304-309, October 19-21, 2011.
[1444] I. Triguero, J. Derrac, S. García, F. Herrera. Un esquema de Pesos basado en Evolución Diferencial para Generación de Prototipos. Actas de la XIV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA11), Tenerife (Spain), November 7-11, 2011.
[1445] J. Derrac, S. García, C. Cornelis, F. Herrera. Una aplicación de conjuntos rugosos difusos en selección de características para la mejora de métodos de selección de instancias evolutivos. Actas de la XIV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA11), Tenerife (Spain), November 7-11, 2011.
[1449] Diana Martín, Alejandro Rosete, J. Alcalá-Fdez, F. Herrera. A Multi-Objective Evolutionary Algorithm for Mining Quantitative Association Rules. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), Córdoba (Spain),pp. 1397-1402, 22–24 November 2011.
[1453] José A. Sáez, J. Luengo, F. Herrera. Fuzzy Rule Based Classification Systems versus Crisp Robust Learners Trained in Presence of Class Noise's Effects: a Case of Study. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), Córdoba (Spain), pp. 1229-1234, 22–24 November 2011..
[1470] D. Torres-Salinas, J G Moreno-Torres, N. Robinson-García, E. Delgado-López-Cózar, F. Herrera. Rankings ISI de las universidades españolas según campos y disciplinas científicas (2ª ed. 2011). El Profesional de la Información 20:6 (2011) 701-711.
[1484] E. Barrenechea, A. Fernandez, H. Bustince, F. Herrera. Construction of Interval-valued Fuzzy Preference Relations using Ignorance Functions. Interval-valued non dominance Criterion. Workshop on Fuzzy Methods for Knowledge-Based Systems, Eurofuse 2011. Advances in Intelligent and Soft Computing ASIC 107, Régua, Portugal, 21-23 Septiembre pp. 243-255 (2011).
[1486] R.M. Rodríguez, L. Martínez and F. Herrera. Hesitant Fuzzy Linguistic Term Sets. International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011). Advances in Intelligent and Soft Computing, vol. 122, pp. 287-295, Springer, 2011.
[1487] R.M. Rodríguez, L. Martínez and F. Herrera. A Multicriteria Linguistic Decision Making Model Dealing with Comparative Terms. Workshop on Fuzzy Methods for Knowledge-Based Systems, (Eurofuse 2011). Advances in Intelligent and Soft Computing ASIC, Régua, Portugal, 21-23 Septiembre. vol. 107, pp. 229-241, Springer, 2011. .
[1488] C.J. Carmona, P. González, M.J. del Jesus, F. Herrera. Analysis of the Impact of Using Different Diversity Functions for the Subgroup Discovery Algorithm NMEEF-SD. 5th International Workshop on Genetic and Evolutionary Fuzzy Systems, Paris (France), April - 2011, pp. 17-23.
[1821] M. Lozano, D. Molina, F. Herrera. Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems. Soft Computing 15:11 (2011) 2085-2087. doi: 10.1007/s00500-010-0639-2

2010 (56)

[0897] S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera. hg-index: A New Index to Characterize the Scientific Output of Researchers Based on the h- and g- Indices. Scientometrics 82:2 (2010) 391-400. doi: 10.1007/s11192-009-0047-5
[0849] D. Molina, M. Lozano, C. García-Martínez, F. Herrera. Memetic Algorithms for Continuous Optimization Based on Local Search Chains. Evolutionary Computation, 18:1 (2010) 27-63. doi: 10.1162/evco.2010.18.1.18102
[1226] J. Derrac, S. García, F. Herrera. IFS-CoCo: Instance and Feature Selection based on Cooperative Coevolution with Nearest Neighbor Rule. Pattern Recognition 43:6 (2010) 2082-2105. doi: 10.1016/j.patcog.2009.12.012
[1043] J. Luengo, F. Herrera. Domains of Competence of Fuzzy Rule Based Classification Systems with Data Complexity measures: A case of study using a Fuzzy Hybrid Genetic Based Machine Learning Method. Fuzzy Sets and Systems, 161 (1) (2010) 3-19. doi: 10.1016/j.fss.2009.04.001
[1051] J. Alcalá-Fdez, S. García, L. Sánchez, I. Robles, M.J. del Jesus, E. Bernadó-Mansilla, A. Peregrin, F. Herrera. Introduction to the Experimental Design in the Data Mining Tool KEEL. L.S.L. Wang , T.P. Hong (Eds.) Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technology, IGI Global, 2010, 1-25. ISBN 978-1-61520-757-2.
[1065] F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma, F. Herrera. q²-Index: Quantitative and Qualitative Evaluation Based on the Number and Impact of Papers in the Hirsch Core. Journal of Informetrics 4:1 (2010) 23-28. doi: 10.1016/j.joi.2009.06.005
[1072] S. García, J.R. Cano, F. Herrera. A Review on Evolutionary Prototype Selection: An Empirical Study of Performance and Efficiency. In: Chiong, R. (eds.): Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications. IGI Global (2010) 92-113.
[1092] P. Espejo, S. Ventura, F. Herrera. A Survey on the Application of Genetic Programming to Classification. IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews 40:2 (2010) 121-144. doi: 10.1109/TSMCC.2009.2033566
[1100] J. Derrac, S. García, F. Herrera. A Survey on Evolutionary Instance Selection and Generation. International Journal of Applied Metaheuristic Computing 1:1 (2010) 60-92. doi: 10.4018/IJAMC.2010010104
[1104] A. Fernandez, S. García, J. Luengo, E. Bernadó-Mansilla, F. Herrera. Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy and Comparative Study. IEEE Transactions on Evolutionary Computation 14:6 (2010) 913-941. doi: 10.1109/TEVC.2009.2039140
COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc
[1112] J. Luengo, S. García, F. Herrera. A Study on the Use of Imputation Methods for Experimentation with Radial Basis Function Network Classifiers Handling Missing Attribute Values: The good synergy between RBFs and EventCovering method. Neural Networks 23 406-418. doi: 10.1016/j.neunet.2009.11.014
COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc
[1114] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera. A Bibliometric Study about the Research Based on Hybridating the Fuzzy Logic Field and the Other Computational Intelligent Techniques: A Visual Approach. Internacional Journal of Hybrid Intelligent Systems 17:7 (2010) 17–32. doi: 10.3233/HIS-2010-0102
[1186] J. Alcalá-Fdez, N. Flugy-Pape, A. Bonarini, F. Herrera. Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules. Fundamenta Informaticae 98:1 (2010) 1001-1014.
[1206] S. García, A. Fernandez, J. Luengo, F. Herrera. Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental Analysis of Power. Information Sciences 180 (2010) 2044–2064. doi: 10.1016/j.ins.2009.12.010
COMPLEMENTARY MATERIAL to the paper: Software and tests description
[1221] I. Robles, R. Alcalá, J.M. Benítez, F. Herrera. On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems. F. Fernández de Vega, E.Cantú-Paz (Eds.): Parallel and Distributed Computational Intelligence, Studies in Computational Intelligence 269, pp. 235-261, Springer-Verlag Berlin Heidelberg.
[1227] A. Fernandez, M.J. del Jesus, F. Herrera. On the 2-Tuples Based Genetic Tuning Performance for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. Information Sciences 180:8 (2010) 1268-1291. doi: 10.1016/j.ins.2009.12.014
COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc
[1228] M.J. Gacto, R. Alcalá, F. Herrera. Integration of an Index to Preserve the Semantic Interpretability in the Multi-Objective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems. IEEE Transactions on Fuzzy Systems 18:3 (2010) 515-531. doi: 10.1109/TFUZZ.2010.2041008
[1229] F.J. Berlanga, A.J. Rivera, M.J. del Jesus, F. Herrera. GP-COACH: Genetic Programming based learning of COmpact and ACcurate fuzzy rule based classification systems for high dimensional problems. Information Sciences 180:8 (2010) 1183-1200. doi: 10.1016/j.ins.2009.12.020
[1242] A. Puris, R. Bello and F. Herrera. Analysis of the efficacy of a Two-Stage methodology for Ant Colony Optimization: Case of study with TSP and QAP. Expert Systems with Applications 37:7 (2010) 5443-5453. doi: 10.1016/j.eswa.2010.02.069
[1250] J. Derrac, A. Fernandez, J. Luengo, S. García, L. Sánchez, J. Alcalá-Fdez, F. Herrera. KEEL: Una herramienta software para el análisis de sistemas difusos evolutivos. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 417-422, 3-5 February 2010..
[1251] J. Luengo, F. Herrera. Determinando Automáticamente los Dominios de Competencia de un Sistema de Clasificación Basado en Reglas Difusas: Un Caso de Estudio con FH-GBML. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 235-240, 3-5 February 2010.
[1255] A. Fernandez, M. Calderón, E. Barrenechea, H. Bustince, F. Herrera. Resolución de Problemas Multi-clase con Sistemas de Clasificación Basados en Reglas Difusas Lingüísticos Basados en Aprendizaje por Parejas y Relaciones de Preferencia. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 97-102, 3-5 February 2010.
[1253] M.J. Gacto, R. Alcalá, F. Herrera. Indice de Interpretabilidad Semántica para el Ajuste de Sistemas Basados en Reglas Difusas y Selección de Reglas Mediante un Algoritmo Evolutivo Multi-Objetivo. Proceedings of the XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), pp. 73-78, Huelva (Spain), 3-5 February 2010, ISBN 978-84-92944-02-6.
[1254] M.J. Gacto, R. Alcalá, F. Herrera. Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm. Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2010), LNAI 6097, Springer, Córdoba (Spain), pp. 228-238, 1-4 June 2010, ISBN 978-3-642-13024-3.
[1256] J.A. Sanz, A. Fernandez, H. Bustince, F. Herrera. Un algoritmo genético para el ajuste de Sistemas de Clasificación Basados en Reglas Difusas con Conjuntos Intervalo-Valorados Difusos. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 115-120, 3-5 February 2010.
[1258] A. Fernandez, M.J. del Jesus, F. Herrera. Analysing the Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection. Proc. of the 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS2010) 69-74, Mieres (Spain) 17-19 March 2010.
[1259] S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera. WoS Query Partitioner: A tool to retrieve very large numbers of items from the Web of Science using different source based partitioning approaches. Journal of the American Society for Information Science and Technology 61:8 (2010) 1582-1597. doi: 10.1002/asi.21360
SOFTWARE associated to the paper
[1264] Francisco Chávez, Francisco Fernández, J. Alcalá-Fdez, R. Alcalá, F. Herrera, Gustavo Olague. Genetic Tuning of a Laser Pointer Environment Control Device System for Handicapped People with Fuzzy Systems. In Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2010), pp. 1812-1819, Barcelona (Spain), 18-23 July 2010, ISBN 978-1-4244-8126-2..
[1265] J. Alcalá-Fdez, R. Alcalá, F. Herrera. A Fuzzy Associative Classification System with Genetic Rule Selection for High- Dimensional Problems. Proceedings of the Fourth International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2010) , pp. 33-38, Asturias (Spain), 17 – 19 March 2010, ISBN 978-1-4244-4622-3.
[1273] A. Fernandez, M. Calderón, E. Barrenechea, H. Bustince, F. Herrera. Solving Multi-Class Problems with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning and Preference Relations. Fuzzy Sets and Systems 161:23 (2010) 3064-3080. doi: 10.1016/j.fss.2010.05.016
[1275] S. García, J. Derrac, I. Triguero, C. Carmona, F. Herrera. A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification. Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2010), Córdoba (Spain), Lecture Notes in Artificial Intelligence (LNAI) 6096, 601-610, , 1-4 June 2010.
[1278] J.A. Sanz, A. Fernandez, H. Bustince, F. Herrera. Improving the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets and Genetic Amplitude Tuning. Information Sciences 180:19 (2010) 3674-3685. doi: 10.1016/j.ins.2010.06.018
[1281] A. Fernandez, M.J. del Jesus, F. Herrera. Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning. 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2010) Dortmund (Germany), LNAI 6178 pp 89-98, 28 June - 02 July 2010.
[1282] P. Villar, A. Fernandez, F. Herrera. A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2010) Dortmund (Germany), CCIS 80 pp. 741-750, 28 June - 02 July 2010.
[1283] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, F. Herrera. Ajuste Evolutivo de un Sistema de Control de Entorno para Personas con Discapacidad utilizando Sistemas Difusos. VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2010), pp. 535-542, Valencia (España), 7-10 Septiembre 2010.
[1284] J. Alcalá-Fdez, R. Alcalá, F. Herrera. Un Modelo de Clasificación basado en Reglas de Asociación Difusas para Problemas de Alta Dimensionalidad y Selección Evolutiva de Reglas. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 249-254, 3-5 February 2010.
[1285] J. Derrac, S. García, F. Herrera. Stratified Prototype Selection based on a Steady-State Memetic Algorithm: A Study of scalability. Memetic Computing 2:3 (2010) 183-199. doi: 10.1007/s12293-010-0048-1
[1290] D. Molina, M. Lozano, F. Herrera. MA-SW-Chains: Memetic Algorithm Based on Local Search Chains for Large Scale Continuous Global Optimization. In Proceeding on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionaty Computation CEC'2010, Barcelona (Spain), 18-23 July, pp 3153-3160, 2010. COMPETITION WINNER.. doi: 10.1109%2FCEC.2010.5586034
[1291] I. Triguero, S. García, F. Herrera. A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification. In Proceeding on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionary Computation CEC'2010, Barcelona (Spain), 18-23 July, pp 630-637, 2010.
[1293] C. Carmona, P. González, M.J. del Jesus, F. Herrera. NMEEF-SD: Non-dominated Multi-objective Evolutionary algorithm for Extracting Fuzzy rules in Subgroup Discovery. IEEE Transactions on Fuzzy Systems Issue 18:5 (2010) 958-970. doi: 10.1109/TFUZZ.2010.2060200
[1294] J.A. Sanz, A. Fernandez, H. Bustince, F. Herrera. A Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets. In Proceedings on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Fuzzy Logic FUZZ-IEEE'2010, Barcelona (Spain), 18-23 July, pp 199-206.
[1295] S. Alonso, E. Herrera-Viedma, F. Chiclana , F. Herrera. A Web Based Consensus Support System for Group Decision Making Problems and Incomplete Preferences. Information Sciences, 180:23 (2010), 4477-4495. doi: 10.1016/j.ins.2010.08.005
[1306] J. Derrac, I. Triguero, S. García, F. Herrera. Coevolución de selección de instancias y esquemas de pesos para clasificadores basados en la regla del vecino más cercano. In Proceedings of the III Congreso Español de Informática (CEDI 2010). VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB2010, Valencia (Spain), 481-488, 7-10 September 2010.
[1307] S. García, J. Derrac, F. Herrera. Un Tutorial Metodológico para hacer Comparaciones Estadísticas con Tests No Paramétricos en Propuestas de Minería de Datos. In Proceedings of the III Congreso Español de Informática (CEDI 2010). V Simposio de Teoría y Aplicaciones de Minería de Datos, TAMIDA2010, Valencia (Spain), 155-164, 7-10 September 2010.
[1309] J. Luengo, F. Herrera. Obtención de los dominios de competencia de C4.5 por medio de medidas de separabilidad de clases. In Proceedings of the III Congreso Español de Informática (CEDI 2010). VIII Jornadas de Aplicaciones y Transferencia Tecnológica de la Inteligencia Artificia (TTIA 2010) Valencia (Spain), 33-44, 7-10 September 2010. .
[1310] J. Luengo, F. Herrera. An Extraction Method for the Characterization of the Fuzzy Rule Based Classification Systems’ Behavior using Data Complexity Measures: A case of study with FH-GBML. In Proceedings on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Fuzzy Logic FUZZ-IEEE'2010, Barcelona (Spain), 18-23 July, pp 702-709.
[1311] M. Galar, José A. Sáez, J. Luengo, F. Herrera. Influencia del Ruido en Sistemas de Clasificación con Múltiples Clases: Análisis sobre la estrategia Uno-contra-Uno. In Proceedings of the III Congreso Español de Informática (CEDI 2010). V Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA 2010) Valencia (Spain), 65-74, 7-10 September 2010.
[1312] José A. Sáez, J. Luengo, F. Herrera. Análisis del impacto del ruido en clases y atributos para Sistemas de Clasificación Basados en Reglas Difusas. In Proceedings of the III Congreso Español de Informática (CEDI 2010).III Simposio sobre Lógica Fuzzy y Soft Computing, LFSC2010 (EUSFLAT), Valencia (Spain), 467-474, 7-10 September 2010.
[1316] I. Triguero, S. García, F. Herrera. IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. IEEE Transactions on Neural Networks 21 (12) (2010) 1984-1990. doi: 10.1109/TNN.2010.2087415
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes
[1320] L. Martinez, D. Ruan, F. Herrera. Computing with Words in Decision support Systems: An overview on Models and Applications. International Journal of Computational Intelligence Systems 3:4 (2010) 382-395.
[1322] V. López, A. Fernandez, F. Herrera. Un primer estudio sobre el uso de aprendizaje sensible al coste con sistemas de clasificación basados en reglas difusas para problemas no balanceados. III Congreso Español de Informática (CEDI 2010). III Simposio sobre Lógica Fuzzy and Soft Computing (LFSC 2010), Valencia (Spain), pp. 459-466, 7-10 September 2010.
[1330] D. Molina, C. García-Martínez, M. Lozano, F. Herrera. web temática sobre algoritmos evolutivos y otras metaheurísticas. Proceeding del VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB'2010, Valencia, Septiembre 2010, pp 311-317, 2010.
[1339] J. Derrac, S. García, F. Herrera. IFS-CoCo in the Landscape Contest: Description and results. Proceedings of Contests of the Twentieth conference of the International Association for Pattern Recognition (ICPR'2010), LNCS vol. 6388, Springer, Heidelberg. Estambul (Turkey, 2010) .
[1340] V. López, A. Fernandez, F. Herrera. A First Approach for Cost-Sensitive Classification with Linguistic Genetic Fuzzy Systems in Imbalanced Data-sets. 10th International Conference on Intelligent Systems Design and Applications (ISDA2010), El Cairo (Egypt), pp. 676-681, 29th November - 1st December 2010.
[1348] José A. Sáez, J. Luengo and F. Herrera. A First Study on the Noise Impact in Classes for Fuzzy Rule Based Classification Systems. In Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering (ISKE2010). IEEE Press. November 15-16, 2010, Hangzhou (China), pp. 153-158.
[1369] J G Moreno-Torres, F. Herrera. A preliminary study on overlapping and data fracture in imbalanced domains by means of Genetic Programming-based feature extraction. Proceedings of the 10th International Conference on Intelligent Systems Design and Applications (ISDA 2010).

2009 (62)

[0758] J. Alcalá-Fdez, L. Sánchez, S. García, M.J. del Jesus, S. Ventura, J.M. Garrell, J. Otero, C. Romero, J. Bacardit, V.M. Rivas, J.C. Fernández, F. Herrera. KEEL: A Software Tool to Assess Evolutionary Algorithms for Data Mining Problems. Soft Computing 13:3 (2009) 307-318. doi: 10.1007/s00500-008-0323-y
SOFTWARE associated to the paper
[0591] P.J. Sánchez, L. Martínez, C. García-Martínez, F. Herrera, E. Herrera-Viedma. A fuzzy model to evaluate the suitability of installing an enterprise resource planning system. Information Sciences 179 (2009) 2333-2341. doi: 10.1016/j.ins.2008.12.020
[0671] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Improving Fuzzy Logic Controllers Obtained by Experts: A Case Study in HVAC Systems. Applied Intelligence 31:1 (2009) 15-30. doi: 10.1007/s10489-007-0107-6
[0769] C. Romero, P. González, S. Ventura, M.J. del Jesus, F. Herrera. Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Systems With Applications 36 (2009) 1632-1644. doi: 10.1016/j.eswa.2007.11.026
[0976] A.G. López-Herrera, E. Herrera-Viedma, F. Herrera. Applying Multi-objective Evolutionary Algorithms to the Automatic Learning of Extended Boolean Queries in Fuzzy Ordinal Linguistic Information Retrieval Systems. Fuzzy Sets and Systems, 160 (2009) 2192 – 2205. doi: 10.1016/j.fss.2009.02.013
[0838] J. Alcalá-Fdez, R. Alcalá, M.J. Gacto, F. Herrera. Learning the Membership Function Contexts for Mining Fuzzy Association Rules by Using Genetic Algorithms. Fuzzy Sets and Systems 160:7 (2009) 905-921. doi: 10.1016/j.fss.2008.05.012
[0837] M.J. Gacto, R. Alcalá, F. Herrera. Adaptation and Application of Multi-Objective Evolutionary Algorithms for Rule Reduction and Parameter Tuning of Fuzzy Rule-Based Systems. Soft Computing 13:5 (2009) 419-436. doi: 10.1007/s00500-008-0359-z
[0834] S. García, D. Molina, M. Lozano, F. Herrera. A Study on the Use of Non-Parametric Tests for Analyzing the Evolutionary Algorithms' Behaviour: A Case Study on the CEC'2005 Special Session on Real Parameter Optimization. Journal of Heuristics 15 (2009) 617-644. doi: 10.1007/s10732-008-9080-4
COMPLEMENTARY MATERIAL to the paper: Software and tests description
[1034] J. Derrac, S. García, F. Herrera. A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. In Proceedings of the Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), June 10-12, Salamanca (Spain), Lecture Notes in Artificial Intelligence 5572, 557-564.
[0826] S. García, F. Herrera. Evolutionary Under-Sampling for Classification with Imbalanced Data Sets: Proposals and Taxonomy. Evolutionary Computation 17:3 (2009) 275-306.
[0855] S. Alonso, F.J. Cabrerizo, F. Chiclana, F. Herrera, E. Herrera-Viedma. Group Decision-Making with Incomplete Fuzzy Linguistic Preference Relations. International Journal of Intelligent Systems 24:2 (2009) 201-222. doi: 10.1002/int.20332
[0875] S. García, J.R. Cano, E. Bernadó-Mansilla, F. Herrera. Diagnose of Effective Evolutionary Prototype Selection using an Overlapping Measure. International Journal of Pattern Recognition and Artificial Intelligence 23:8 (2009) 1527-1548.
[0885] F. Chiclana, E. Herrera-Viedma, S. Alonso, F. Herrera. Cardinal Consistency of Reciprocal Preference Relations: A Characterization of Multiplicative Transitivity. IEEE Transactions on Fuzzy Systems 17:1 (2009) 14-23. doi: 10.1109/TFUZZ.2008.2008028
[0893] J. Luengo, S. García, F. Herrera. A Study on the Use of Statistical Tests for Experimentation with Neural Networks: Analysis of Parametric Test Conditions and Non-Parametric Tests. Expert Systems with Applications 36 (2009) 7798-7808. doi: 10.1016/j.eswa.2008.11.041
COMPLEMENTARY MATERIAL to the paper: Software and tests description
[0894] A.M. Sánchez, M. Lozano, P. Villar, F. Herrera. Hybrid Crossover Operators with Multiple Descendents for Real-Coded Genetic Algorithms: Combining Neighborhood-based Crossover Operators. International Journal of Intelligent Systems 24:5 (2009) 540-567. doi: 10.1002/int.20348
[0896] A. Fernandez, M.J. del Jesus, F. Herrera. Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection for Imbalanced Data-Sets. International Journal of Approximate Reasoning 50 (2009) 561-577. doi: 10.1016/j.ijar.2008.11.004
COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc
[0898] S. García, A. Fernandez, J. Luengo, F. Herrera. A Study of Statistical Techniques and Performance Measures for Genetics-Based Machine Learning: Accuracy and Interpretability. Soft Computing 13:10 (2009) 959-977. doi: 10.1007/s00500-008-0392-y
COMPLEMENTARY MATERIAL to the paper: Software and tests description
[0900] I. Robles, J.M. Benítez, M. Lozano, F. Herrera. Implementación de un algoritmo genético distribuido para optimización de problemas reales. VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), páginas 419-424.
[0964] D. Molina, M. Lozano, F. Herrera. Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems. Learning and Intelligent OptimizatioN Workshop (LION'3), pages 221-234.
[0947] A.G. López-Herrera, E. Herrera-Viedma, F. Herrera. A Study of the Use of Multi-Objective Evolutionary Algorithms to Learn Boolean Queries: A Comparative Study. Journal of the American Society for Information Science and Technology 60:6 (2009) 1192 - 1207. doi: 10.1002/asi.21060
[0949] S. Alonso, E. Herrera-Viedma, F. Chiclana, F. Herrera. Individual and Social Strategies to Deal With Ignorance Situations in Multi-Person Decision Making. International Journal of Information Technology and Decision Making 8:2 (2009) 313-333. doi: 10.1142/S0219622009003417
[1018] A. Fernandez, F. Herrera, M.J. del Jesus. On the Influence of an Adaptive Inference System in Fuzzy Rule Based Classification Systems for Imbalanced Data-Sets. Expert Systems With Applications 36:6 (2009) 9805-9812. doi: 10.1016/j.eswa.2009.02.048
[1023] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera. Una Aplicación de Algoritmos Evolutivos Multiobjetivo al Filtrado de Correo Electrónico no Deseado. Actas del VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), pp. 611-616, Málaga (Spain), 11-13 February 2009.
[1025] S. García, A. Fernandez, F. Herrera. Un Primer Estudio sobre la Utilización de Selección Evolutiva de Conjuntos de Entrenamiento en Problemas de Clasificación con Clases no Balanceadas y Árboles de Decisión. In Proceedings of VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), Málaga (Spain), 183-190, 11-13 February 2009.
[1035] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-sets. In Proceedings of the Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), June 10-12, Salamanca (Spain), Lecture Notes in Artificial Intelligence 5572, 581-588.
[1036] A. Fernandez, M.J. del Jesus, F. Herrera. Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-sets Using an Evolutionary Adaptive Inference System. 10th International Work-Conference on Artificial Neural Networks (IWANN09), Lecture Notes on Computer Science 5517, Salamanca (Spain), 294-301, June 2009.
[1037] A. Fernandez, F.J. Berlanga, M.J. del Jesus, F. Herrera. Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. 13th International Fuzzy Systems Association World Congress and 6th European Society for Fuzzy Logic and Tecnology Conference (IFSA-EUSFLAT 2009) 42-47, Lisbon (Portugal), 20-24 July 2009.
[1038] M.J. Gacto, R. Alcalá, F. Herrera. Algoritmo Genético Multi-Objetivo Avanzado para el ajuste de un sistema difuso aplicado al Control de Sistemas de Ventilación, Calefacción y Aire Acondicionado. En Actas del Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09), pp. 595-602, Málaga (Spain), 11-13 February 2009. ISBN 978-84-691-6813-4.
[1041] I. Robles, R. Alcalá, J.M. Benítez, F. Herrera. Distributed Genetic Tuning of Fuzzy Rule-Based Systems. In Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), 1740-1744, Lisbon (Portugal), 20-24 July 2009.
[1046] S. Alonso. F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera. h-index: A Review Focused in its Variants, Computation and Standardization for Different Scientific Fields. Journal of Informetrics 3:4 (2009) 273-289. doi: 10.1016/j.joi.2009.04.001
[1047] S. García, A. Fernandez, F. Herrera. Enhancing the Effectiveness and Interpretability of Decision Tree and Rule Induction Classifiers with Evolutionary Training Set Selection over Imbalanced Problems. Applied Soft Computing 9 (2009) 1304-1314. doi: 10.1016/j.asoc.2009.04.004
[1048] P. Villar, F. Herrera, A. Fernandez. A Genetic Learning of the Fuzzy Rule-Based Classification System Granularity for Highly Imbalanced Data-Sets. 2009 IEEE International Conference on Fuzzy Systems (Fuzz-IEEE09) Jeju Island, (Korea), 1689-1694, 20-24 August 2009.
[1054] R. Alcalá, P. Ducange, F. Herrera, B. Lazzerini, F. Marcelloni. A Multi-Objective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy Rule-Based Systems. IEEE Transactions on Fuzzy Systems 17:5 (2009) 1106-1122. doi: 10.1109/TFUZZ.2009.2023113
[1055] M.J. Gacto, R. Alcalá, F. Herrera. A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. In Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), 1146-1151, Lisbon (Portugal), 20-24 July 2009. ISBN 978-989-95079-6-8.
[1056] R. Alcalá, Y. Nojima, F. Herrera, H. Ishibuchi. Generating Single Granularity Based Fuzzy Classification Rules for Multiobjective Genetic Fuzzy Rule Selection. In Proceedings of the 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2009), pp. 1718-1723, Jeju Island (Korea), 20-24 August 2009, ISBN 978-1-4244-3597-5.
[1058] D. Molina, M. Lozano, F. Herrera. Memetic Algorithm with Local Search Chaining for Large Scale Continuous Optimization. Proceeding IEEE Congress on Evolutionary Computation (2009) 830-837.
[1059] A. Fernandez, M. Calderón, E. Barrenechea, H. Bustince F. Herrera. Enhancing Fuzzy Rule Based Systems in Multi-Classification Using Pairwise Coupling with Preference Relations. EUROFUSE09 Workshop on Preference Modelling and Decision Analysis Pamplona (Spain), 39-46, 16-18 September 2009.
[1060] F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma, F. Herrera. The Aggregation of Bibliometric Indices to Evaluate the Scientific Output of Researchers: A Case of Study in the Fuzzy Community. EUROFUSE09 Workshop on Preference Modelling and Decision Analysis, Pamplona (Spain), 187-192, 16-18 September 2009.
[1061] M. D. Pérez-Godoy, A. J. Rivera, A. Fernandez, M. J. del Jesus and F. Herrera. A Preliminar Analysis of CO2RBFN in Imbalanced Problems. 10th International Work-Conference on Artificial Neural Networks (IWANN09) Lecture Notes on Computer Science 5517, Springer-Verlag, Salamanca (Spain) 57-64, June 2009.
[1062] J. Luengo, F. Herrera. Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes. 10th International Work-Conference on Artificial Neural Networks (IWANN09) Lecture Notes on Computer Science 5517, Springer-Verlag, Salamanca (Spain) 81-88, June 2009.
[1063] J. Sanz, M. Pagola, H. Bustince, A. Fernandez, F. Herrera. Construction of Ignorance Functions from Overlap Functions. EUROFUSE09 Workshop on Preference Modelling and Decision Analysis Pamplona (Spain), 317-322, 16-18 September 2009.
[1069] F. Herrera, S. Alonso, F. Chiclana, E. Herrera-Viedma. Computing With Words in Decision Making: Foundations, Trends and Prospects. Fuzzy Optimization and Decision Making 8:4 (2009) 337-364. doi: 10.1007/s10700-009-9065-2
[1070] N. Flugy Papè, J. Alcalá-Fdez, A. Bonarini and F. Herrera. Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness. In Proceedings of the Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), June 10-12, Salamanca (Spain), Lecture Notes in Artificial Intelligence 5572, 646-653.
[1075] D. Molina, M. Lozano, F. Herrera. A Memetic Algorithm using Local Search Chaining for Black-Box Optimization for Noiseless Functions. Proceeding of Genetic and Evolutionary Computation Conference (GECCO), (2009), 2255-2262.
[1076] D. Molina, M. Lozano, F. Herrera. A Memetic Algorithm using Local Search Chaining for Black-Box Optimization for Noisy Functions. Proceeding of Genetic and Evolutionary Computation Conference (GECCO), (2009), 2359-2366.
[1077] J. Luengo, F. Herrera. On the use of Measures of Separability of Classes to characterise the Domains of Competence of a Fuzzy Rule Based Classification System. Proceedings of the 2009 International Fuzzy Systems Association congress and 2009 European Society for Fuzzy Logic and Technology conference, Lisbon (Portugal) 1027-1032, July 2009.
[1078] A. Fernandez, J. Luengo, J. Derrac, J. Alcalá-Fdez and F. Herrera. Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool. 10th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2009). Lecture Notes in Computer Science 5788, Springer 2009, Burgos (Spain, 2009) 562-569.
[1079] I. Robles, R. Alcalá, J.M. Benítez, F. Herrera. Evolutionary Parallel and Gradually Distributed Lateral Tuning of Fuzzy Rule-Based Systems. Evolutionary Intelligence 2 (2009) 5-19. doi: 10.1007/s12065-009-0025-0
[1096] F. Herrera, E. Herrera-Viedma, S. Alonso, F.J. Cabrerizo. Agregación de índices bibliométricos para evaluar la producción científica de los investigadores. El Profesional de la Información 18:5 (2009) 559-561. doi: 10.3145/epi.2009.sep.11
[1098] D. Molina, M. Lozano, F. Herrera. Algoritmo Memético Basado en Encadenamiento de Búsquedas Locales para Problemas de Optimización Continua. Proceeding VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), (2009), 481-486.
[1115] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera, R. Bailón, E. Jiménez-Contreras. Visualization and Evolution of the Scientific Structure of Fuzzy Sets Research in Spain. Information Research 14:4, paper 421 (2009), Available online.
[1162] P. Villar, A. Fernandez, A.M. Sánchez, F. Herrera. Un Algoritmo Genético para Selección de Características en Sistemas de Clasificación Basados en Reglas Difusas para conjuntos de datos altamente no balanceados. Actas de la XIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA09) Sevilla (Spain), 519-528, 9-13 November 2009.
[1176] J. Luengo, A. Fernandez, F. Herrera, S. García. Addressing Data-Complexity for Imbalanced Data-sets: A Preliminary Study on the Use of Preprocessing for C4.5. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09), Pisa (Italy) November 2009, 523-528 .
[1177] S. García, J. Derrac, J. Luengo, F. Herrera. A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09), Pisa (Italy) November 2009, 517-522.
[1199] A.M. Sánchez, M. Lozano, F. Herrera. Algoritmos Genéticos para Codificación Real con Operador de Cruce Híbrido con Múltiples Descendientes: 2BLX0.5-2FR0.5-2PNX3-2SBX0.01. En Actas del VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09). pp 411-418. Málaga (Spain), 11-13 February 2009. .
[1216] M.J. Gacto, R. Alcalá, F. Herrera. Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09), pp. 109-114, Pisa (Italy), November 2009, ISBN 978-0-7695-3872-3.
[1222] D. Molina, M. Lozano, F. Herrera. Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems. Proceeding of 9th International Conference on Intelligent System Design and Applications, 2009 (ISDA'2009), 1068-1073.
[1231] E. Ramentol, F. Herrera, R. Bello, Y. Caballero, Y. Sánchez. Edición de Conjuntos de Entrenamiento no Balanceados, haciendo uso de Operadores Genéticos y la Teoría de los Conjuntos Aproximados. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09), 11-13 Febrero, Malaga (Spain), 277-284, 2009..
[1232] C. Blum, P. Cardoso, F. Herrera. ACOR híbrido con múltiples colonias para problemas de optimización continua. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09), 11-13 Febrero, Malaga (Spain), 465-472, 2009.
[1233] C.J. Carmona, P. González, M.J. Del Jesus, F. Herrera. An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery. 2009 IEEE International Conference on Fuzzy Systems (Fuzz-IEEE09) Jeju Island, (Korea), 1706-1711, 20-24 August 2009..
[1234] C.J. Carmona, P. González, M.J. Del Jesus, F. Herrera. Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery. In Proceedings of the Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), June 10-12, Salamanca (Spain), Lecture Notes in Artificial Intelligence 5572, 573-580, 2009.
[1770] F. Herrera, M. Lozano. Fuzzy Evolutionary Algorithms and Genetic Fuzzy Systems: A Positive Collaboration between Evolutionary Algorithms and Fuzzy Systems. In: C.L. Mumford, L.C. Jain (Eds.) Computational Intelligence: Collaboration, Fusion and Emergence, ISRL 1, Springer Berlin Heidelberg (2009), pp. 83-130, ISBN: 978-3-642-01798-8.

2008 (35)

[0341] M. Lozano, F. Herrera, J.R. Cano. Replacement Strategies to Preserve Useful Diversity in Steady-State Genetic Algorithms. Information Sciences 178:23 (2008) 4421-4433. doi: 10.1016/j.ins.2008.07.031
[0446] S. Alonso, F. Chiclana, F. Herrera, E. Herrera-Viedma, J. Alcalá-Fdez, C. Porcel. A Consistency-Based Procedure to Estimate Missing Pairwise Preference Values. International Journal of Intelligent Systems 23:2 (2008) 155-175. doi: 10.1002/int.20262
[0756] M.J. del Jesus, P. González, and F. Herrera. Subgroup Discovery with Linguistic Rules. In: F. Herrera, J. Montero, H. Bustince (Eds.): Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Springer-Verlag, Studies in Fuzziness and Soft Computing, 220 (2008), 411-430.
[0526] C. García-Martínez, M. Lozano, F. Herrera, D. Molina, A.M. Sánchez. Global and Local Real-Coded Genetic Algorithms Based on Parent-Centric Crossover Operators. European Journal of Operational Research 185 (2008) 1088-1113. doi: 10.1016/j.ejor.2006.06.043
[0596] F. Herrera, E. Herrera-Viedma, L. Martínez. A Fuzzy Linguistic Methodology To Deal With Unbalanced Linguistic Term Sets. IEEE Transactions on Fuzzy Systems 16:2 (2008) 354-370. doi: 10.1109/TFUZZ.2007.896353
[0669] A.M. Sánchez, M. Lozano, C. García-Martínez, D. Molina, F. Herrera. Real-Parameter Crossover Operators with Multiple Descendents: An Experimental Study. International Journal of Intelligent Systems 23:2 (2008) 246-268. doi: 10.1002/int.20258
[0656] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection. In: Ghosh, A., Dehuri, S., Ghosh, S. (eds.): Multi-objective Evolutionary Algorithms for Knowledge Discovery from Data Bases Vol. 98, Springer Verlag, Heidelberg, Germany, 2008, 91-107. ISBN 978-3-540-77466-2.
[0721] J.R. Cano, F. Herrera, M. Lozano, S. García. Making CN2-SD Subgroup Discovery Algorithm scalable to Large Size Data Sets using Instance Selection. Expert Systems with Applications 35 (2008) 1949-1965. doi: 10.1016/j.eswa.2007.08.083
[0730] S. Alonso, F.J. Cabrerizo, F. Chiclana, F. Herrera and E. Herrera-Viedma. An Interactive Decision Support System Based on Consistency Criteria. Journal of Multiple-Valued Logic & Soft Computing 14:3-5 (2008) 371-385.
[0760] F. Herrera. Genetic Fuzzy Systems: Taxonomy, Current Research Trends and Prospects. Evolutionary Intelligence 1 (2008) 27-46. doi: 10.1007/s12065-007-0001-5
[0768] R. Romero Zaliz, C. Rubio-Escudero, O. Cordón, J.P. Cobb, F. Herrera, I. Zwir. A multi-objective evolutionary conceptual clustering methodology for gene annotation within structural databases: A case of study on the Gene Ontology database. IEEE Transactions on Evolutionary Computation, 12:6 (2008) 679-701. doi: 10.1109/TEVC.2008.915995
[0772] A. Fernandez, S. García, M.J. del Jesus, F. Herrera. A Study of the Behaviour of Linguistic Fuzzy Rule Based Classification Systems in the Framework of Imbalanced Data Sets. Fuzzy Sets and Systems, 159:18 (2008) 2378-2398. doi: 10.1016/j.fss.2007.12.023
[0773] J. Alcalá-Fdez, S. García, F.J. Berlanga, A. Fernandez, L. Sánchez, M.J. del Jesus, F. Herrera. KEEL: A Data Mining Software Tool Integrating Genetic Fuzzy Systems. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS 2008), Witten-Bommerholz (Germany), 83-88, 4-7 March 2008.
[0848] S. García, F. Herrera. Design of Experiments in Computational Intelligence: On the Use of Statistical Inference. Proceedings of the 3rd International Workshop on Hybrid Artificial Intelligent Systems (HAIS08). Lecture Notes in Artificial Intelligence 5271, Springer-Verlag 2008, Burgos (Spain) 4-14, September 2008.
[0847] J.R. Cano, S. García, F. Herrera. Subgroup Discovery in Large Size Data Sets Preprocessed Using Stratified Instance Selection for Increasing the Presence of Minority Classes. Pattern Recognition Letters 29 (2008) 2156-2164. doi: 10.1016/j.patrec.2008.08.001
[0845] A. Fernandez, M.J. del Jesus, F. Herrera. Sistemas Basados en Reglas Difusas en Clasificación: Nuevos Retos. XIV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF08) Mieres (Spain), 493-500, 17-19 September 2008.
[0844] A. Fernandez, M.J. del Jesus, F. Herrera. A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. 8th International Conference on Hybrid Intelligent Systems (HIS 2008) Barcelona (Spain), 483-488, 10-12 September.
[0830] F.J. Berlanga, M.J. del Jesus and F. Herrera. A Novel Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for High Dimensional Problems. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS 2008) pp. 101-106 Witten-Bommerholz (Germany), March 2008.
[0827] S. García, J.R. Cano, F. Herrera. A Memetic Algorithm for Evolutionary Prototype Selection: A Scaling Up Approach. Pattern Recognition 41:8 (2008) 2693-2709. doi: 10.1016/j.patcog.2008.02.006
[0853] S. García, F. Herrera. Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems. Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS08), Barcelona (Spain), 567-572, September 2008.
[0854] F. Chiclana, E. Herrera-Viedma, S. Alonso, F. Herrera. A Note on the Estimation of Missing Pairwise Preference Values: A Uninorm Consistency based Method. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16:2 Supp (2008) 19-32. doi: 10.1142/S0218488508005467
[0859] F. Chiclana, S. Alonso, E. Herrera-Viedma, F. Herrera. Tackling Incomparability of Fuzzy Preferences Using Self-dual Uninorms. Proceedings of the 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2008), Málaga (Spain), 1311-1317, 22-27 June (2008).
[0861] F. Chiclana, S. Alonso, E. Herrera-Viedma, F. Herrera. Construction of Consistent Fuzzy Preference Relations Using Uninorms. Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008), Hong Kong, 1269-1273, 1-6 June (2008).
[0864] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera. Visualizing the Hybridizations Between the Fuzzy Logic Field and the Other Soft-Computing Techniques. Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS08), Barcelona (Spain), 252-257, 10-12 September 2008.
[0867] M.J. Gacto, R. Alcalá, F. Herrera. Multi-Objective Genetic Fuzzy Systems: On the Necessity of Including Expert Knowledge in the MOEA Design Process. Proceedings of the 2008 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2008), Malaga (Spain), 1446-1453, 22-28 June 2008.
[0868] M.J. Gacto, R. Alcalá, F. Herrera. An Improved Multi-Objective Genetic Algorithm for Tuning Linguistic Fuzzy Systems. Proceedings of the 2008 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2008), Malaga (Spain), 1121-1128, 22-28 June 2008.
[0869] P. Ducange, R. Alcalá, F. Herrera, B. Lazzerini, F. Marcelloni. Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. Proceedings of the 3rd International Workshop on HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS (HAIS 2008), LNAI 5271, Springer-Verlag, Burgos (Spain), 747-754, 24-26 September 2008.
[0873] F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma, F. Herrera, F. Chiclana. A Selection Process to Deal with Incomplete Fuzzy Preference Relations in a 2-Tuple Fuzzy Linguistic Approach. Proceedings of the 8th International FLINS Conference on Computational Intelligence in Decision and Control, Madrid (Spain), 289-294, 21-24 September 2008.
[0882] S. García, F. Herrera. An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons. Journal of Machine Learning Research 9 (2008) 2677-2694.
COMPLEMENTARY MATERIAL to the paper: Software and tests description
[0892] J. Luengo, S. García, J.R. Cano, F. Herrera. Estudio de la influencia de las medidas de complejidad de los datos en los Sistemas de Clasifcación Basados en Reglas Difusas: Análisis de la Razón Discriminante de Fisher. XIV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF08) Mieres (Spain), 257-263, 17-19 September 2008.
[0904] D. Molina, M. Lozano, C. García-Martínez, F. Herrera. Memetic Algorithms for Intense Local Search Methods Using Local Search Chains . Proceedings of the International Workshop on Hybrid Metaheuristics (HM 2008), Málaga (Spain), 8-9 october 2008, LNCS 5296, pp. 58-71. doi: 10.1007/978-3-540-88439-2_5
[0907] A.G. López-Herrera, E. Herrera-Viedma, F. Herrera. A Multiobjective Evolutionary Algorithm for Spam E-mail Filtering. Proceedings of the International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2008), Xiamen (China), 17-18 November 2008.
[0909] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera. A Study on the Evolution of Fuzzy Sets Based Research in Spain Based on Bibliometric Maps. Proceedings of the XIV Congreso Español Sobre Tecnologías Y Lógicas Fuzzy (ESTYLF 2008), pp. 265-270. ISBN: 978-84-691-5807-4, Mieres-Langreo (Spain), 17-19 September 2008.
[0974] P. Gonzalez, C.J. Carmona, M.J. del Jesus, F. Herrera. Influencia de la granularidad y las medidas de calidad en el modelo evolutivo SDIGA de descubrimiento de subgrupos. Proceedings of the XIV Congreso Español Sobre Tecnologías Y Lógicas Fuzzy (ESTYLF 2008), pp. 179-184. ISBN: 978-84-691-5807-4, Mieres-Langreo (Spain), 17-19 September 2008.
[1032] S. Alonso, E. Herrera-Viedma, F. Herrera, F. Chiclana. Using Different Transitivity Properties to Deal With Incomplete Fuzzy Preference Relations in Group Decision Making Environments. In B. Bouchon-Meunier, R.R. Yager, C. Marsala, and M. Rifqi (eds.): Uncertainty and Intelligent Information Systems. World Scientific (2008).

2007 (39)

[0344] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera. Local Identification of Prototypes for Genetic Learning of Accurate TSK Fuzzy Rule-Based Systems. International Journal of Intelligent Systems 22:9 (2007) 909-941. doi: 10.1002/int.20232
[0346] J. Alcalá-Fdez, F. Herrera, F. Márquez, A. Peregrín. Increasing Fuzzy Rules Cooperation Based on Evolutionary Adaptive Inference Systems. International Journal of Intelligent Systems 22:9 (2007) 1035-1064. doi: 10.1002/int.20237
[0651] R. Alcalá, M.J. Gacto, F. Herrera, J. Alcalá-Fdez. A Multi-objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15:5 (2007) 539–557. doi: 10.1142/S0218488507004868
[0427] E. Herrera-Viedma, F. Chiclana, F. Herrera, S. Alonso. Group Decision-Making Model with Incomplete Fuzzy Preference Relations Based on Additive Consistency. IEEE Transactions on Systems, Man and Cybernetics, Part B, Cybernetics, 37:1 (2007) 176-189. doi: 10.1109/TSMCB.2006.875872
[0588] E. Herrera-Viedma, S. Alonso, F. Chiclana, F. Herrera. A Consensus Model for Group Decision Making with Incomplete Fuzzy Preference Relations. IEEE Transactions on Fuzzy Systems 15:5 (2007) 863-877. doi: 10.1109/TFUZZ.2006.889952
[0543] J.R. Cano, F. Herrera, M. Lozano. Evolutionary Stratified Training Set Selection for Extracting Classification Rules with Trade-off Precision-Interpretability. Data and Knowledge Engineering 60 (2007) 90-108. doi: 10.1016/j.datak.2006.01.008
[0556] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Rule Base Reduction and Genetic Tuning of Fuzzy Systems based on the Linguistic 3-Tuples Representation. Soft Computing 11:5 (2007) 401-419. doi: 10.1007/s00500-006-0106-2
[0572] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero. Genetic Learning of Accurate and CompactFuzzy Rule Based Systems Based on the 2-Tuples LinguisticRepresentation. International Journal of Approximate Reasoning 44:1 (2007) 45-64. doi: 10.1016/j.ijar.2006.02.007
[0589] M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing. IEEE Transactions on Fuzzy Systems 15:4 (2007) 578-592. doi: 10.1109/TFUZZ.2006.890662
[0590] C. García-Martínez, O. Cordón, F. Herrera. A Taxonomy and an Empirical Análisis of Multiple Objective Ant Colony Optimization Algorithms for Bi-criteria TSP. European Journal of Operational Research 180:1 (2007) 116-148. doi: 10.1016/j.ejor.2006.03.041
[0597] F. Chiclana, E. Herrera-Viedma, F. Herrera, S. Alonso. Some Induced Ordered Weighted Averaging Operators and Their Use for Solving Group Decision-Making Problems based on Fuzzy Preference Relations. European Journal of Operational Research, 182:1 (2007) 383-399. doi: 10.1016/j.ejor.2006.08.032
[0598] R. Alcalá, J. Alcalá-Fdez, F. Herrera. A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and its Interaction with Rule Selection. IEEE Transactions on Fuzzy Systems 15:4 (2007) 616-635. doi: 10.1109/TFUZZ.2006.889880
[0629] S. García, J.R. Cano, F. Herrera. Un algoritmo memético para la selección de prototipos: Una propuesta eficiente para problemas de tamaño medio. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 563-570, 14-16 February 2007.
[0630] S. García, D. Molina, M. Lozano, F. Herrera. Un estudio experimental sobre el uso de test no paramétricos para analizar el comportamiento de los algoritmos evolutivos en problemas de optimización. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 275-285, 14-16 February 2007.
[0666] S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera, F. Chiclana. A Web Consensus Support System to Deal with GDM Problems under Incomplete Fuzzy Preference Relations. Proceedings of EUROFUSE Workshop on New Trends in Preference Modeling (EUROFUSE'07), Jaén (Spain), 15-20, 11-13 April 2007.
[0654] F.A. Márquez, A. Peregrín and F. Herrera. Cooperative Evolutionary Learning of Fuzzy Rules and Parametric Aggregation Connectors for Mamdani Linguistic Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 15:6 (2007) 1162-1178. doi: 10.1109/TFUZZ.2007.904121
[0657] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems. In Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1367-1372, 23-26 July 2007.
[0658] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. In Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1538-1543, 23-26 July 2007.
[0664] A. Fernandez, S. García, M.J. del Jesus, F. Herrera. A study on the Use of the Fuzzy Reasoning Method based on the Winning Rule Vs. Voting Procedure for Classification with Imbalanced Data Sets. Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN07). Lecture Notes on Computer Science 4507, Springer-Verlag, San Sebastián (Spain), 375-382, June 2007.
[0665] A. Fernandez, S. García, M.J. del Jesus, F. Herrera. An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets. International Workshop on Fuzzy Logic and Applications (WILF07). Lecture Notes in Computer Science 4578, Springer-Verlag 2007, Genova (Italy, 2007), 170-179.
[0668] J. Alcalá-Fdez, R. Alcalá, M.J. Gacto, F. Herrera. Aprendizaje Evolutivo de los Contextos de las Funciones de Pertenencia para Extraer Reglas de Asociación Difusas. Proceedings of the II Congreso Español de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy y Soft Computing, LFSC'2007 (EUSFLAT), Zaragoza (Spain), 25-32, 11-14 September 2007.
[0672] F. Herrera, P. Villar. Un algoritmo genético para aprendizaje de un sistema basado en reglas difusas tipo Takagi-Sugeno. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 543-548, 14-16 February 2007.
[0673] J.J. Aguilera, M. Chica, M.J. del Jesus, F. Herrera. Un estudio sobre el uso de algoritmos genéticos multimodales para selección de características. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 485-492, 14-16 February 2007.
[0675] F. Herrera, M. Lozano, A.M. Sánchez. Algoritmos genéticos con codificación real:Operadores de cruce híbridos basados en entornos con múltiples descendientes. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 827-834, 14-16 February 2007.
[0677] C. Romero, P. González, S. Ventura, M.J. del Jesus, F. Herrera. Aplicación de algoritmos evolutivos de descubrimiento de subgrupos en e-learning: un caso de estudio analizando cursos de Moodle. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 493-500, 14-16 February 2007.
[0679] M. E. Pérez, F. Herrera. Algoritmos genéticos multimodales: Un estudio sobre la parametrización del método clearing apliado al problema "Job Shop". In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 851-858, 14-16 February 2007.
[0694] S. Alonso, F.J. Cabrerizo, F. Herrera, E. Herrera-Viedma, F. Chiclana. A Procedure to Estimate Missing Information in Group Decision-Making with Fuzzy Linguistic Information. In Proceedings of the II Congreso Español de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy and Soft Computing (LFSC 2007), Zaragoza (Spain), 131-138, 11-14 September 2007.
[0696] S. Alonso, E. Herrera-Viedma, F.J. Cabrerizo, F. Chiclana, F. Herrera. Visualizing Consensus in Group Decision Making Situations. Proceedings of the 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1818-1823, 23-26 July 2007.
[0697] F. Chiclana, E. Herrera-Viedma, S. Alonso, F. Herrera. Consistency of Reciprocal Preference Relations. Proceedings of the 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1119-1124, 23-26 July 2007.
[0699] A.G. López-Herrera, E. Herrera-Viedma, F. Herrera, C. Porcel, S. Alonso. Multi-objective Evolutionary Algorithms in the Automatic Learning of Boolean Queries: A Comparative Study. In O. Castillo, P. Melin, O. Montiel, R. Sepúlveda, W. Pedrycz, J. Kacprzyk (Eds.) Theoretical Advances and Applications of Fuzzy Logic and Soft Computing (Advances in Soft Computing 42), ISBN 978-3-540-72433-9. Springer-Verlag, Berlin (2007) 71-80.
[0707] S. Alonso, F. Chiclana, E. Herrera-Viedma, F. Herrera. Consistency of Reciprocal Fuzzy Preference Relations. In Proceedings of the II Congreso Español de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy and Soft Computing (LFSC 2007), Zaragoza (Spain), 123-130, 11-14 September 2007.
[0718] D. Molina, F. Herrera, M. Lozano. Algoritmo Memético con Intensidad de Busqueda Local Adaptativa. Proceedings of the II Congreso Español de Informática (CEDI 2007). I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM'07), Zaragoza (Spain), 195-202, 11-14 September 2007.
[0719] S. García, D. Molina, F. Herrera, M. Lozano. Tests no paramétricos de comparaciones múltiples con algoritmo de control en el análisis de algoritmos evolutivos: Un caso de estudio con los resultados de la sesión especial en optimización continua. Proceedings of the II Congreso Español de Informática (CEDI 2007). I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM'07), Zaragoza (Spain), 219-227, 11-14 September 2007.
[0722] J. Luengo, S. García, F. Herrera. Estudio de la influencia de los métodos de imputación en Redes Neuronales de Base Radial para clasificación. Proceedings of the II Congreso Español de Informática (CEDI 2007). Simposio de Inteligencia Computacional (SICO2007), Zaragoza (Spain), 81-88, 11-14 September 2007.
[0723] S. García, A. Fernandez, A.D. Benítez, F. Herrera. Statistical Comparisons by Means of Non-Parametric Tests: A Case Study on Genetic Based Machine Learning. Proceedings of the II Congreso Español de Informática (CEDI 2007). V Taller Nacional de Minería de Datos y Aprendizaje (TAMIDA 2007), Zaragoza (Spain), 95-104, 11-14 September 2007.
[0724] J.R. Cano, S. García, F. Herrera, E. Bernadó-Mansilla. Analysis of Evolutionary Prototype Selection by means of a Data Complexity Measure based on Class Separability. Proceedings of the II Congreso Español de Informática (CEDI 2007). V Taller Nacional de Minería de Datos y Aprendizaje (TAMIDA 2007), Zaragoza (Spain), 57-63, 11-14 September 2007.
[0725] J. Luengo, S. García, F. Herrera. A Study on the Use of Statistical Tests for Experimentation with Neural Networks. Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN07). Lecture Notes on Computer Science 4507, Springer-Verlag, San Sebastián (Spain), 72-79, June 2007.
[0731] J.J. Aguilera, M. Chica, M.J. del Jesus, F. Herrera. Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule Based Classification Systems. Proceedings of the 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1794-1799, 23-26 July 2007.
[0763] M.J. del Jesús, P. González, F. Herrera. Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules. First IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM 2007), Honolulu (USA), 50-47, 1-5 April 2007.

2006 (26)

[0342] F. Herrera, M. Lozano, D. Molina. Continuous Scatter Search: An Analysis of the Integration of Some Combination Methods and Improvement Strategies. European Journal of Operational Research 169:2 (2006) 450-476. doi: 10.1016/j.ejor.2004.08.009
[0343] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera. Hybrid learning models to get the interpretability-accuracy trade-off in Fuzzy Modelling. Soft Computing 10:9 (2006) 717-734. doi: 10.1007/s00500-005-0002-1
[0434] J.R. Cano, F. Herrera, M. Lozano. On the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. Applied Soft Computing 6 (2006) 323-332. doi: 10.1016/j.asoc.2005.02.006
[0576] F. Chiclana, E. Herrera-Viedma, F. Herrera. New Consistency Properties for Preference Relations. In: B. Bouchon-Meunier, G. Coletti, R.R. Yager (Eds.): Modern Information Processing. From Theory to Applications. Elsevier (2006) 121-131.
[0592] S. Alonso, E. Herrera-Viedma, F. Herrera, F. Chiclana. A General Procedure to Estimate Missing Values for Incomplete Fuzzy Preference Relations. Proceedings of the 11th Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2006), Paris (France), 1796-1802, 2-7 July 2006.
[0497] F. Herrera, E. Herrera-Viedma, L. Martínez, L.G. Pérez, A.G. López-Herrera, S. Alonso. A Multi-granular Linguistic Hierarchical Model To Evaluate The Quality Of Web site Services. In C. Kahraman (Ed.): Fuzzy Set Techniques in Industrial Engineering. International Series "Studies in Fuzziness and Soft Computing" 201. Springer Verlag, Heidelberg. Germany (2006) 247-274. I.S.B.N.: 3-540-33516-1.
[0577] L. Martínez, L.G. Pérez, J. Liu, J.B. Yang, F. Herrera. A Linguistic Hierarchical Evaluation Model for Engineering Systems. In: B. Bouchon-Meunier, G. Coletti, R.R. Yager (Eds.): Modern Information Processing. From Theory to Applications. Elsevier (2006) 295-305.
[0525] S. Alonso, E. Herrera-Viedma, F. Chiclana, F. Herrera, C. Porcel. Strategies to Manage Ignorance Situations in Multiperson Decision Making Problems. Modeling Decisions for Artificial Intelligence 2006 (MDAI 2006), Tarragona (Spain), Lecture Notes on Artificial Intelligence 3885, 34-45, 3-5 April 2006. ISSN 0302-9743.
[0571] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Fuzzy Rule Reduction and Tuning of Fuzzy Logic Controllers for a HVAC System. In C. Kahraman (Ed.): Fuzzy Applications in Industrial Engineering, Studies in Fuzziness and Soft Computing Vol. 201, Springer Verlag, Heidelberg, Germany, 2006, 89-117. ISBN 978-3-540-33516-0.
[0573] R. Alcalá, J. Alcalá-Fdez, F.J. Berlanga, M.J. Gacto, F. Herrera. Improving Fuzzy Rule-Based Decision Modelsby Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. Modeling Decisions for Artificial Intelligence 2006 (MDAI 2006), Tarragona (Spain), Lecture Notes on Artificial Intelligence 3885, 317-328, 3-5 April 2006. ISSN 0302-9743.
[0633] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Obtención de Sistemas Basados en Reglas Difusas Precisos y Compactos Mediante Algoritmos Genéticos Multiobjetivo. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 1-6, 20-22 September 2006, ISBN 84-689-9547-9.
[0611] M.J. del Jesus, A. Fernandez, S. García, F. Herrera. A first study on the use of fuzzy rule based classification systems for problems with imbalanced data sets. Proceedings of the Symposium on Fuzzy Systems in Computer Science (FSCS 2006), Magdeburg (Germany), 63-72, 27-28 September 2006.
[0612] A. Fernandez, S. García, F. Herrera, M.J. del Jesus. Un primer estudio sobre el uso de los sistemas de clasificación basados en reglas difusas en problemas de clasificación con clases no balanceadas. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 89-95, 20-22 September 2006, ISBN 84-689-9547-9.
[0613] S. García, J.R. Cano, F. Herrera. Incorporating knowledge in evolutionary prototype selection. Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL06). Lecture Notes in Computer Science 4224, Springer-Verlag 2006, Burgos (Spain) 1358-1366, September 2006.
[0614] S. García, J.R. Cano, A. Fernandez, F. Herrera. A proposal of evolutionary prototype selection for class imbalance problems. Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL06). Lecture Notes in Computer Science 4224, Springer-Verlag 2006, Burgos (Spain) 1415-1423, September 2006.
[0631] F.J. Berlanga, M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing. 6th Industrial Conference on Data Mining (ICDM 2006), Leipzig (Germany). Lecture Notes in Computer Science 4065, 337-349, 2006.
[0632] R. Alcalá, J. Alcalá-Fdez, F.J. Berlanga, M.J. Gacto, F. Herrera. Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. Proceedings of the 19th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE06), LNCS 4031, Springer-Verlag, Annecy (France), 452-461, 27-30 June 2006. ISSN 0302-9743.
[0655] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Obtaining Compact and Still Accurate Linguistic Fuzzy Rule-Based Systems by Using Multi-Objetive Genetic Algorithms. Proceedings of the Symposium on Fuzzy Systems in Computer Science (FSCS 2006), Magdeburg (Germany), 53-62, 27-28 September 2006.
[0639] S. Alonso, E. Herrera-Viedma, F. Herrera, F.J. Cabrerizo, F. Chiclana. A Decision aid System to Provide Consistent Linguistic Preference Relations. Proceedings of the 6th International Conference on Recent Advances in Soft Computing (RASC 2006), Canterbury (UK), 130-135, 2006.
[0640] S. Alonso, E. Herrera-Viedma, F. Herrera, F.J. Cabrerizo, F. Chiclana. An Interactive Support system To Aid Experts to Express Consistent Preferences. Proceedings of the 7th International FLINS Conference on Applied Artificial Intelligence, Genove (Italy), 425-432, August 2006.
[0641] S. Alonso, E. Herrera-Viedma, F. Herrera, F. Chiclana. Dealing With Ignorance Problems in Decision Making Under Fuzzy Preference Relations. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 295-300, 20-22 September 2006, ISBN 84-689-9547-9.
[0648] A.G. López-Herrera, F. Herrera, E. Herrera-Viedma, A. Zafra, M. Luque. Aprendiendo Consultas Lingüísticas Difusas con Algoritmos Evolutivos Multiobjetivo. Estudio preliminar. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 247-252, 20-22 September 2006, ISBN 84-689-9547-9.
[0649] A.G. López-Herrera, E. Herrera-Viedma, F. Herrera, A. Zafra, M. Luque. Aplicando Algoritmos Genéticos Multiobjetivo al Aprendizaje Automático de Consultas Booleanas Extendidas en SRI Lingüísticos Difusos. Proceedings of the I International Conference on Multidisciplinary Information Sciences & Technologies (INSCIT 2006), Mérida (Spain), Volumen II, 194-198, October 2006.
[0652] F.J. Berlanga, M.J. del Jesus, M.J. Gacto, F. Herrera. A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems. Proceedings of the International Conference on Artificial Intelligence and Soft Computing (ICAISC 2006), Zakopane (Poland), Lecture Notes in Computer Science 4029, 182-191, 25-29 June 2006.
[0678] F. Herrera, J.R. Cano. Técnicas de reducción de datos en KDD. El uso de Algoritmos Evolutivos para la Selección de Instancias. Actas del I Seminario Sobre Sistemas Inteligentes (SSI'06), Universidad Rey Juan Carlos, Madrid (Spain), 165-181, Mayo 2006.
[0751] F. Herrera, F.A. Márquez, A. Peregrín. Aprendizaje evolutivo cooperativo de reglas y operadores para sistemas difusos lingüísticos. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 123-128, 20-22 September 2006, ISBN 84-689-9547-9.

2005 (35)

[0125] J.R. Cano, F. Herrera, M. Lozano. Instance Selection Using Evolutionary Algorithms: An Experimental Study. In: N. Pal, H.N. Teodorescu, L.C. Jain (Eds.): Knowledge Discovery in Advanced Information Systems, Springer Verlag, 2005, 127-152.
[0477] D. Molina, F. Herrera, M. Lozano, C. García-Martínez, A.M. Sánchez. Técnicas de Diversidad para Algoritmos Meméticos. Proceeding del Segundo Congreso Mexicano de Computación Evolutiva "COMCEV 2005", 2005, 29-34.
[0335] F. Herrera, M. Lozano, A.M. Sánchez. Hybrid Crossover Operators for Real-Coded Genetic Algorithms: An Experimental Study. Soft Computing 9:4 (2005) 280-298. doi: 10.1007/s00500-004-0380-9
[0338] F. Herrera, L. Martínez, P.J. Sánchez. Managing Non-Homogeneous Information in Group Decision Making. European Journal of Operational Research 166 (2005) 115-132. doi: 10.1016/j.ejor.2003.11.031
[0339] J. Casillas, O. Cordón, M.J. del Jesús, F. Herrera. Genetic Tuning of Fuzzy Rule Deep Structures Preserving Interpretability and Its Interaction With Fuzzy Rule Set Reduction. IEEE Trans. on Fuzzy Systems 13:1 (2005) 13-29. doi: 10.1109/TFUZZ.2004.839670
[0340] R. Alcalá, J. Casillas, O. Cordón, A. González, F. Herrera. A Genetic Rule Weighting and Selection Process for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. Engineering Applications of Artificial Intelligence 18:3 (2005) 279-296. doi: 10.1016/j.engappai.2004.09.007
[0347] J. Casillas, O. Cordón, I. Fernández de Viana, F. Herrera. Learning Cooperative Linguistic Fuzzy Rules Using the Best-Worst Ant Systems Algorithm. International Journal of Intelligent Systems 20 (2005) 433-452. doi: 10.1002/int.20074
[0401] J.R. Cano, F. Herrera, M. Lozano. Stratification for Scaling Up Evolutionary Prototype Selection. Pattern Recognition Letters, 26, (2005), 953-963. doi: 10.1016/j.patrec.2004.09.043
[0455] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero. Genetic Learning of the Knowledge Base of a Fuzzy System by Using the Linguistic 2-Tuples Representation. In Proceedings of the 14th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2005), Reno, Nevada (USA), 797-802, May 22-25, 2005. ISBN 0-7803-9159-4.
[0456] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero. A New Genetic Fuzzy System Based on Linguistic 2-Tuples to Learn Knowledge Bases. Proceedings of the 1st International Workshop on Genetic Fuzzy Systems (GFS 2005), Granada (Spain), 107-112, March 17-19, 2005. ISBN 84-689-1117-8.
[0470] L. Martínez, J. Liu, J.B. Yang, F. Herrera. A Multigranular Hierarchical Linguistic Model for Design Evaluation Based on Safety and Cost Analysis. International Journal of Intelligent Systems 20 (2005) 1161-1194. doi: 10.1002/int.20107
[0473] E. Herrera-Viedma, C. Porcel, F. Herrera, L. Martínez, A.G. López-Herrera. Techniques to Improve Multi-Agent Systems for Searching and Mining the Web. In: D. Ruan, G. Chen, E.E. Kerrera, G. Wets (Eds.): Intelligent Data Mining. Techniques and Applications. Springer-Verlag, 2005, 463-486.
[0474] M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Evolutionary Induction of Descriptive Rules in a Market Problem. In: D. Ruan, G. Chen, E.E. Kerrera, G. Wets (Eds.): Intelligent Data Mining. Techniques and Applications. Springer-Verlag, 2005, 267-292.
[0475] J.R. Cano, F. Herrera. Técnicas de Reducción de Datos en KDD. Minería de Datos: Técnicas y Aplicaciones, J.A.Gámez, I. García-Varea, J. Hernández-Orallo, 2005, 13-33.
[0476] J.R. Cano, F. Herrera, M. Lozano. Strategies for Scaling Up Evolutionary Instance Reduction Algorithms for Data Mining. Evolutionary Computation in Data Mining, A. Ghosh, L.C. Jain (Eds.), Springer-Verlag, 2005, 21-39.
[0493] D. Molina, F. Herrera, M. Lozano. Adaptive Local Search Parameters for Real-Coded Memetic Algorithms. 2005 IEEE Congress on Evolutionary Computation, 2-5 September 2005, Edinburg (Scotland), 888-895.
[0498] S. Alonso, E. Herrera-Viedma, F. Chiclana, F. Herrera. Managing Incomplete Information in Consensus Processes. In Proceedings of the I Congreso Español de Informática (CEDI 2005). Simposio sobre Lógica Fuzzy and Soft Computing (LFSC 2005), 13-16 September, Granada (Spain), 175-182, 2005.
[0499] S. Alonso, E. Herrera-Viedma, F. Chiclana, F. Herrera. An Approach to Consensus Reaching in Multiperson Decision Making Problems with Incomplete Information. In Proceedings of the Joint EUSFLAT-LFA (IV EUSFLAT and XI LFA), September 7-9, Barcelona (Spain), 904-909, 2005.
[0500] D. Molina, F. Herrera, M. Lozano. Técnicas de Diversidad para Algoritmos Meméticos: un estudio experimental. In Proceedings del MAEB'05 (Cuarto congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Granada (Spain), 39-46, 2005.
[0501] S. Alonso, F. Chiclana, F. Herrera, E. Herrera-Viedma. Group Decision Making With Incomplete Information. In: Herrera-Viedma, E. (ed.): Procesos de Toma de Decisiones, Modelado y Agregación de Preferencias. Granada (2005) 21-30. I.S.B.N.: 84-934654-1-0.
[0502] S. Alonso, F. Herrera, E. Herrera-Viedma, C. Porcel. Fuzzy Linguistic Preference Modelling for Group Decision Making. In: Herrera-Viedma, E. (ed.): Procesos de Toma de Decisiones, Modelado y Agregación de Preferencias. Granada (2005) 55-63. I.S.B.N.: 84-934654-1-0.
[0504] F. Herrera. Genetic Fuzzy Systems: Status, Critical Considerations and Future Directions. International Journal of Computational Intelligence Research (IJCIR) 1:1 (2005) 59-67.
[0522] M. Lozano, F. Herrera, C. García-Martínez. Técnicas de diversificación para la mejora de los operadores de cruce centrados en un padre.. IV Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinsipirados (MAEB'05), Granada, España, Septiembre, 2005, 389 - 396.
[0539] F. Berlanga, M.J. del Jesus, P. González, F. Herrera. Multiobjective evolutionary induction of subgroup discovery rules in a market problem. International Conference on Machine Intelligence, Tozeur-Tunisia, 610-617, 2005.
[0540] J.R. Cano, F. Herrera, M. Lozano. Extracción de Modelos Predictivos Interpretables en Conjuntos de Datos de Tamaño Grande mediante la Selección de Conjuntos de Entrenamiento. Actas del III Taller de Minería de Datos y Aprendizaje (TAMIDA'2005), 145-152, 2005.
[0548] F.J. Berlanga, M.J. del Jesus, F. Herrera. Aprendizaje de reglas difusas mediante programación genética en problemas con alta dimensionalidad. I Simposio sobre Lógica Fuzzy y Soft Computing (LFSC'05), Granada (España), 93-100, 2005.
[0549] F.J. Berlanga, M.J. del Jesus, F. Herrera. Learning compact fuzzy rule-based classification systems with genetic programming. IVth Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT'05), Barcelona (Spain), 1027-1032, 2005.
[0550] F.J Berlanga, M.J. del Jesus, F. Herrera. Learning fuzzy rules using genetic programming: Context-free grammar definition for high-dimensionality problems. I Workshop on Genetic Fuzzy Systems (GFS'05), Granada (Spain), 136-141, 2005.
[0551] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Genetic Lateral andAmplitude Tuning of Membership Functions for Fuzzy Systems. Proceedings of the 2nd International Conference on Machine Intelligence (ACIDCA-ICMI05). Tozeur (Tunisia), 589-595, November 5-7, 2005.
[0552] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Ajuste EvolutivoLateral y de Amplitud de etiquetas para Sistemas Basados en ReglasDifusas. Simposio de Inteligencia Computacional (SICO2005), Granada (Spain), 481-488, September 13-16, 2005. ISBN 84-9732-444-7.
[0557] M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Evolutionary induction of descriptive fuzzy rules in a market problem. I International Workshop on Genetic Fuzzy Systems (GFS'05). Granada (Spain), 57-63, 2005.
[0558] M.J. del Jesus, P. González, F. Herrera. Inducción evolutiva multiobjetivo de reglas de descripción de subgrupos en un problema de marketing. IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05 - CEDI). Granada (Spain), 661-669, 2005.
[0560] J.R. Cano, F. Herrera, M. Lozano. A Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. In: F. Hoffmann, M. Köppen, F. Klawonn, R. Roy, (Eds.): Soft Computing: Methodologies and Applications, Advances in Soft Computing Series, Springer-Verlag, (2005), 271-284.
[0561] A.M. Sánchez, F. Herrera, M. Lozano, P. Villar. Estudio de operadores de cruce con múltiples descendientes para algoritmos genéticos con codificación real. In Proceedings del MAEB'05 (Cuarto congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Granada (Spain), 31-38, 2005.
[0583] M. Lozano, F. Herrera, J.R. Cano. Replacement Strategies to Maintain Useful Diversity in Steady-State Genetic Algorithms. F. Hoffmann, M. Köppen, F. Klawonn, R. Roy (eds.): Soft Computing: Methodologies and Applications. Advances in Soft Computing Series, Springer-Verlag (2005) 85-96.

2004 (39)

[0005] E. Herrera-Viedma, F. Herrera, F. Chiclana, M. Luque. Some Issues on Consistency of Fuzzy Preference Relations. European Journal of Operational Research 154 (2004) 98-109. doi: 10.1016/S0377-2217(02)00725-7
[0389] O. Cordón, I. Fernández de Viana, F. Herrera. Análisis Estadístico de los Parámetros del Sistema de la Mejor-Peor Hormiga. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 478-485, 2004.
[0388] J. Casillas, F. Herrera. Experiencias Docentes sobre la Enseñanza de Metaheurísticas en Ingeniería Informática en la Unioversidad de Granada. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 329-335, 2004.
[0387] F. Herrera, M. Lozano, A.M. Sánchez. Operadores de Cruce con Múltiples Descendientes para Algoritmos Genéticos con Codificación Real: Estudio Experimental. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 292-299, 2004.
[0402] F. Herrera, C. García-Martínez, L. Martínez, P.J. Sánchez, B. Montes. A Java Based System for Evaluating Educational Skills. Proc. EUROFUSE 2004 - Workshop on Current Issues in Data and Knowledge Engineering, Warsa (Poland), B. de Baets, R. de Caluwe, G. de Tre, J. Fodor, J. Kacprzyk, S. Zadrozni (Eds.), 255-264, September 2004.
[0131] F. Herrera, E. Herrera-Viedma, L. Martinez, C. Porcel. Information Gathering on the Internet Using a Distributed Intelligent Agent Model with Multi-Granular Linguistic Information. In Fuzzy Logic and The Internet, M. Nikravesh, L.A. Zadeh, V. Loia (Eds) Springer, 2004, 95-116.
[0133] F. Herrera, E. Herrera-Viedma, L. Martinez, F. Mata, P.J. Sanchez. A Multi-Granular Linguistic Decision Model for Evaluating the Quality of Network Services. In: Intelligent Sensory Evaluation, Ruan Da (Eds.): Springer-Verlag, 2004, 71-92.
[0386] J.R. Cano, F. Herrera, M. Lozano. Estratificación y Selección Evolutiva de Prototipos Aplicadas a Bases de Datos de Gran Tamaño. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 211-220, 2004.
[0383] J. Casillas, O. Cordón, F. Herrera, P. Villar. Aprendizaje híbrido de la base de conocimiento de un sistema basado en reglas difusas mediante algoritmos genéticos y colonias de hormigas. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 357-362, 2004.
[0380] J. Casillas, O. Cordón, F. Herrera, P. Villar. A hybrid learning process for the knowledge base of a fuzzy rule-based system. 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004), Perugia (Italy), 2189-2196, 2004.
[0378] F. Chiclana, E. Herrera-Viedma, F. Herrera. Consistency Properties for Preference Relations: T-additive and T-multiplicative Transitivity. 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004), Perugia (Italy), 403-410, 2004.
[0375] S. Alonso, F. Chiclana, F. Herrera, E. Herrera-Viedma. A Learning Procedure to Estimate Missing Values in Fuzzy Preference Relations Based on Additive Consistency. Modeling Decisions for Artificial Intelligence: First International Conference, MDAI 2004, Barcelona (Spain), Lect. Notes in Computer Science 3131, 227-238, August 2-4, 2004.
[0372] M. Lozano, F. Herrera, N. Krasnogor, D. Molina. Algoritmos Meméticos con Codificación Real con Técnicas de Ascensión de Colinas Basadas en el Cruce. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 254-261, 2004.
[0371] M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Algoritmo Evolutivo de Extracción de Reglas de Asociación aplicado a un Problema de Marketing. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 102-109, 2004.
[0370] J. Alcalá-Fdez, R. Alcalá, O. Cordón, F. Herrera. Aprendizaje de Pesos y Selección Evolutiva para la Reducción de la Base de Reglas Difusas. Actas del Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'04), Córdoba (Spain), 118-125, February 4-6, 2004. ISBN 84-688-4224-9.
[0368] R. Romero Zaliz, I. Zwir, F. Herrera. Búsqueda Dispersa Multiobjetivo de Promotores en secuencias de ADN. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 141-147, 2004.
[0331] O. Cordón, F. Gomide, F. Herrera, F. Hoffmann, L. Magdalena. Ten Years of Genetic Fuzzy Systems: Current Framework and New Trends. Fuzzy Sets and Systems 141:1 (2004) 5-31. doi: 10.1016/S0165-0114(03)00111-8
[0332] O. Cordón, F. Herrera, F.A. Márquez, A. Peregrin. A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modelling. International Journal of Hybrid Intelligent Systems 1:1 (2004) 36-48.
[0333] F. Chiclana, E. Herrera-Viedma, F. Herrera, S. Alonso. Induced Ordered Weighted Geometric Operators and Their Use in the Aggregation of Multiplicative Preference Relations. International Journal of Intelligent Systems 19:3 (2004) 233-255. doi: 10.1002/int.10172
[0334] F. Chiclana, F. Herrera, E. Herrera-Viedma. A Study on the Rationality of Induced Ordered Weighted Operators Based on the Reliability of the Information Sources for Aggregation for Group Decision-Making. Kybernetika 40:1 (2004) 121-142.
[0336] E. Herrera-Viedma, F. Herrera, L. Martínez, J.C. Herrera, A.G. López-Herrera. Incorporating Filtering Techniques in a Fuzzy Linguistic Multi-Agent Model for Information Gathering on the Web. Fuzzy Sets and Systems 148:1 (2004) 61-83. doi: 10.1016/j.fss.2004.03.006
[0337] M. Lozano, F. Herrera, N. Krasnogor, D. Molina. Real-Coded Memetic Algorithms with Crossover Hill-Climbing. Evolutionary Computation 12:3 (2004) 273-302. doi: 10.1162/1063656041774983
[0348] S. Alonso, O. Cordón, I. Fernández de Viana, F. Herrera. Integrating Evolutionary Computation Components in Ant Colony Optimization. Recent Developments in Biologically Inspired Computing, L. Nunes de Castro, F.J. Von Zuben (Eds.), Idea Group Publishing, 2004, 148-180 [ISBN: 1-59140-312-X].
[0349] S. Alonso, O. Cordón, I. Fernández de Viana, F. Herrera. La Metaheurística de Optimización Basada en Colonias de Hormigas: Modelos y Nuevos Enfoques. G. Joya, M.A. Atencia, A. Ochoa, S. Allende (Eds.), Optimizacion Inteligente: Técnicas de Inteligencia Computacional para Optimización, 2004, Servicio de Publicaciones de la Universidad de Málaga, 261-313 [ISBN: 84-9747-034-6].
[0350] M.J. del Jesus, P. González, F. Herrera. Extracción de Conocimiento con Algoritmos Evolutivos y Reglas Difusas. Introducción a la Minería de Datos, J. Hernández, M.J. Ramírez, C. Ferri (Eds.), Prentice Hall, 2004, 383-419.
[0391] F. Herrera. Sistemas Difusos Evolutivos. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 1-8, 2004.
[0394] F. Herrera, F.A. Márquez, A. Peregrín. Cooperación De Reglas Difusas Basada En La Adaptación Evolutiva De Los Operadores De Conjunción y Los Defuzzyficadores. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 231-236, 2004.
[0395] J. Alcalá-Fdez, R. Alcalá, F. Herrera. Aprendizaje y Ajuste Genético De Sistemas Difusos Basado en la Representación de 2-Tuplas Lingüísticas. Actas del XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 333-338, September 15-17, 2004. ISBN 84-609-2160-3.
[0396] M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Extracción de Reglas DNF Difusas En Un Problema de Marketing. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 351-356, 2004.
[0397] S. Alonso, F. Chiclana, F. Herrera, E. Herrera-Viedma. An IOWA Operator Based On Additive Consistency For Group Decision Making. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 443-448, 2004.
[0398] C. García-Martínez, F. Herrera, L. Martinez, L.G. Pérez, P.J. Sánchez. Diagrama UML Para Modelos De Toma de Decisión Con Información Heterogénea. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 473-478, 2004.
[0400] R. Alcalá, F. Herrera. Genetic Tuning on Fuzzy Systems Based on the Linguistic 2-Tuples Representation. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2004), Vol. 1, Budapest (Hungary), 233-238, July 25-29, 2004. ISBN 0-7803-8353-2.
[0424] C. García-Martínez, O. Cordón, F. Herrera. An Empirical Analysis of Multiple Objective Ant Colony Optimziation Algorithms for the Bi-criteria TSP. 4th International Workshop, ANTS2004, Brussels (Belgium). M. Dorigo, M. Birattari, C. Blum, L.M. Bambardella, F. Mondada, T. Stützle (Eds.), LNCS 3172, 61-72, September 2004.
[0468] L. Martinez, J. Liu, J-B Yang, F. Herrera. A Linguistic Hierarchical Decision Making Model for Evaluating Engineering Systems. Tenth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2004. Perugia, (Italy), Vol. III, 1575-1582, 2004.
[0511] J.R. Cano, F. Herrera, M. Lozano. Selección Evolutiva Estratificada de Conjuntos de Entrenamiento para la Obtención de Bases de Reglas con un Alto Equilibrio entre Precisión e Interpretabilidad. En: Giráldez, R., Riquelme, J. C., Aguilar, J. S. (eds): Tendencias de la Minería de Datos en España. (2004) 263 - 274. ISBN: 84-688-8442-1..
[0512] J. Alcalá-Fdez, M. J. del Jesús, J. M. Garrell, F. Herrera, C. Hervás, L. Sánchez. Proyecto KEEL: Desarrollo de una Herramienta para el Análisis e Implementación de Algoritmos de Extracción de Conocimiento Evolutivos. En: Giráldez, R., Riquelme, J. C., Aguilar, J. S. (eds.): Tendencias de la Minería de Datos en España, 2004, 413-424. ISBN: 84-688-8442-1.
[0513] F. Herrera, C. Hervás, J. Otero, L. Sánchez. Un estudio empírico preliminar sobre los test estadísticos más habituales en el aprendizaje automático. En: Giráldez, R., Riquelme, J. C., Aguilar, J. S. (eds.): Tendencias de la Minería de Datos en España. (2004) 403 - 412. ISBN: 84-688-8442-1.
[0520] J. R. Cano, F. Herrera, M. Lozano. Evolutionary Stratified Instance Selection applied to Training Set Selection for Extracting High Precise-Interpretable Classification Rules. In Proceedings of the IEEE ICDM 2004 Workshop on Alternative Techniques for Data Mining and Knwoledge Discovery, November 2004.
[0533] F. Chiclana, S. Alonso, F. Herrera, E. Herrera-Viedma. Additive Consistency as a Tool to Solve Group Decision Making Problems. In Proceedings of the 5th International Conference on Recent Advances in Soft Computing (RASC 2004), Nottingham (UK), 237-242, 2004.

2003 (39)

[0515] M. Lozano, F. Herrera, J. R. Cano.. Replacement Strategies to Maintain Useful Diversity in Steady-State Genetic Algorithms.. In Proceedings of the 8th Online World Conference on Soft Computing in Industrial Applications, September, 2003.
[0004] F. Herrera, E. Herrera-Viedma, F. Chiclana. A Study of the Origin and Uses of the Ordered Weighted Geometric Operator in Multicriteria Decision Making. International Journal of Intelligent Systems 18:6 (2003) 689-707. doi: 10.1002/int.10106
[0010] F. Herrera, M. Lozano. Fuzzy Adaptive Genetic Algorithms: Design, Taxonomy and Future Directions. Soft Computing 7:8 (2003) 545-562. doi: 10.1007/s00500-002-0238-y
[0011] R. Alcalá, J.R. Cano, O. Cordón, F. Herrera, P. Villar, I. Zwir. Linguistic Modeling with Hierarchical Systems of Weighted Linguistic Rules. International Journal of Approximate Reasoning 32:2-3 (2003) 187-215. doi: 10.1016/S0888-613X(02)00083-X
[0013] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Linguistic Modeling with Weighted Double-Consequent Fuzzy Rules Based on Cooperative Coevolutionary Learning. Integrated Computer Aided Engineering 10 (4) (2003) 343-355.
[0014] F. Chiclana, F. Herrera, E. Herrera-Viedma, L. Martínez. A Note on the Reciprocity in the Aggregation of Fuzzy Preference Relations Using OWA Operators. Fuzzy Sets and Systems 137:1 (2003) 71-83. doi: 10.1016/S0165-0114(02)00433-5
[0015] O. Cordón, F. Herrera, I. Zwir. A Hierarchical Knowledge-Based Environment for Linguistic Modeling: Models and Iterative Methodology. Fuzzy Sets and Systems 138:2 (2003) 307-341.
[0018] E. Pérez, F. Herrera, C. Hernández. Finding Multiple Solutions in Job Shop Scheduling by Niching Genetic Algorithm. Journal of Intelligent Manufacturing 14:3-4 (2003) 323-339. doi: 10.1023/A:1024649709582
[0126] J. Casillas, O. Cordón, F. Herrera, L. Magdalena. Interpretability improvements to find the balance interpretability-accuracy in fuzzy modeling: an overview. In [MIEMBRO 0007 J. Casillas], [MIEMBRO 0009 O. Cordón], [MIEMBRO 0001 F. Herrera], L. Magdalena (Eds.). Interpretability issues in fuzzy modeling, Studies in Fuzziness and Soft Computing, Springer, Heidelberg, Germany, 2003, 3-22. ISBN 3-540-02932-X.
[0127] R. Alcalá, J.M. Benítez, J. Casillas, J.L. Castro, O. Cordón, A. González, F. Herrera, R. Pérez. Multicriteria genetic tuning for the optimization and control of HVAC systems. In X. Yu, J. Kacprzyk (Eds.): Applied decision support with soft computing, Studies in Fuzziness and Soft Computing Vol. 124, Springer, Heidelberg, Germany, 2003, 308-345. ISBN 978-3-540-02491-0.
[0128] J. Casillas, O. Cordón, F. Herrera, L. Magdalena. Accuracy improvements to find the balance interpretability-accuracy in linguistic fuzzy modeling: an overview. In J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.). Accuracy Improvements in Linguistic Fuzzy Modeling, Studies in Fuzziness and Soft Computing, Springer-Verlag, Heidelberg, Germany, 2003, 3-24. ISBN 3-540-02933-8.
[0129] J. Casillas, O. Cordón, F. Herrera. COR methodology: a simple way to obtain linguistic fuzzy models with good interpretability and accuracy. In J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.). Accuracy improvements in linguistic fuzzy modeling, Studies in Fuzziness and Soft Computing, Springer, Heidelberg, Germany, 2003, 27-45. ISBN 3-540-02933-8.
[0130] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Applying Rule Weight Derivation to Obtain Cooperative Rules. In J.M. Benítez, O. Cordón, F. Hoffmann, R. Roy (Eds.). Advances in soft computing. Engineering, design and manufacturing, Springer, Heidelberg, Germany, 2003, 139-148. ISBN 1-85233-755-9.
[0132] F. Herrera, E. Herrera-Viedma, L. Martinez, P.J. Sanchez. Combining Heterogeneous Information in Group Decision Making. Intelligent System for Information Processing: From Representation to Applications, B. Bouchon-Meunier, L. Foulloy, R.R. Yager (Eds.), Elsevier, 2003, 81-92.
[0308] R. Alcalá, F. Herrera, O. Cordón. Genetic Fuzzy Systems: Short Introduction and Models for Fuzzy Control of HVAC Systems. Proceedings of the Fifth Conference on Evolutionary Methods for Design, Optimisation and Control with Applications to Industrial and Society Problems (EUROGEN 2003), Barcelona (Spain), 8-9, September 15-17, 2003.
[0307] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera. Genetic Learning of Accurate TS Models Based on Local Fuzzy Prototyping. Proceedings of the Third Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2003), Zittau (Germany), 105-108, September 10-12, 2003.
[0306] R. Alcalá, O. Cordón, F. Herrera. Genetic Learning of Weights and Rule Selection For Improving the Fuzzy Control Performance of an HVAC System. Proceedings of the Fifth Conference on Evolutionary Methods for Design, Optimisation and Control with Applications to Industrial and Society Problems (EUROGEN 2003), Barcelona (Spain), 94-95, September 15-17, 2003.
[0303] S.E. Ventura, A.J. Cruz, C. Hervas, F. Herrera. Analisis de Operadores en Programación Genética Basada en Gramáticas. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 445-451, February 2003.
[0304] B. Carse, A.G. Pipe, I. Renners, A. Grauel, A.F. Gómez, F. Jimenez, G. Sánchez, O. Cordón, F. Herrera, F. Gomide, I. Walter, A. Gonzalez, Raul Perez. Current Issues and Future Directions in Evolutionary Fuzzy Systems Research. Proceedings of the Third Conference of the European Society for Fuzzy Logic and Technology, Zittau, 81-87, September 2003.
[0299] F. Herrera, E. Herrera-Viedma, I. Martínez, P.J. Sánchez. A Linguistic Decision Process for Evaluating the Instalation of an Enterprise Resource Planning System. Proc. of the 7th Joint Conference on Information Science, 164-167, 2003.
[0300] F. Herrera, E. Herrera-Viedma, L. Martínez, P.J. Sánchez. A Methodology For Generating The Semantics of Unbalanced Linguistic Term Sets. Proc. of the 7th Joint Conference on Information Science, North Carolina (USA), 151-154, 2003.
[0298] F. Herrera, M. Lozano, A.M. Sánchez. A Taxonomy for the Crossover Operator for Real-Coded Genetic Algorithms: An Experimental Study. International Journal of Intelligent Systems 18 (2003) 309-338. doi: 10.1002/int.10091
[0309] F. Herrera, F.A. Márquez, A. Peregrin. Genetic Adaptation of Rule Connectives and Conjunction Operators in Fuzzy Rule Based Systems: An Experimental Comparative Study. Proceedings of the Third Conference of the European Society for Fuzzy Logic and Technology, Zittau, 100-104, September 2003.
[0312] F. Herrera, E. Herrera-Viedma, L. Martínez, P.J. Sánchez. Evaluating the Suitability of an Enterprise Resource Planning System. Proceedings of SIGEF 2003. Emergent Solutions for the Information and Knowledge Economy. León (Spain), Vol. 1 375-388, 2003.
[0314] M. Lozano, F. Herrera. Estrategias de Reemplazo Para Fomentar Diversidad Útil en los Algoritmos Genéticos Estacionarios. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 200-208, February 2003.
[0315] F. Herrera, M. Lozano, A.M. Sánchez. Una Propuesta de Hibridación de Operadores de Cruce para Algoritmos Genéticos con Codificación Real. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 237-248, February 2003.
[0316] F. Chiclana, E. Herrera-Viedma, F. Herrera. Some Induced Ordered Weighting Averaging Operators to Solve Decision Problems Based on Fuzzy Preference Relations. Proceedings of AGOP'2003, Alcalá de Henares (Spain), 55-60, July 2003.
[0322] F. Herrera, E. Herrera-Viedma. Linguistic Preference Modeling: Foundation Models and New Trends. Proceedings of the 4th International Workshop on Preferences and Decisions (TRENTO 2003), Trento, 47-52, September 2003.
[0514] J. R. Cano, F. Herrera, M. Lozano. A Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. In Proceedings of the 8th Online World Conference on Soft Computing in Industrial Applications, September 2003..
[0326] S. Alonso, O. Cordón, I. Fernández de Viana, F. Herrera. Análisis de Distintas Vertientes para la Paralelización de los Algoritmos de Optimización Basados en Colonias de Hormigas. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 160-167, February 2003.
[0328] R. Alcalá, O. Cordón, F. Herrera. Algoritmos Genéticos para el ajuste de Parámetros y Selección de Reglas en el Control Difuso de un Sistema de Climatización HVAC para Grandes Edificios. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'03), Gijón (Spain), 39-46, February 5-7, 2003. ISBN 84-607-65-26-1.
[0329] F. Herrera, E. Herrera-Viedma, F. Chiclana. Additive Consistency of Fuzzy Preference Relations: Characterization and Construction. Proceedings of the 4th International Workshop on Preferences and Decisions (TRENTO 2003), Trento, 39-46, September 2003.
[0351] R. Alcalá, O. Cordón, F. Herrera. Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models. In J. Lawry, J. Shanahan, A. Ralescu (Eds.). Modelling with Words, LNCS 2873, Springer-Verlag, Germany, 2003, 44-63. ISBN 3-540-20487-3.
[0352] F. Chiclana, F. Herrera, E. Herrera-Viedma. Reciprocity and Consistency of Fuzzy Preference Relations. Principles of Fuzzy Preference Modelling and Decision Making, B. De Baets, J. Fodor (Eds.), Academia Press, 2003, 123-142.
[0353] O. Cordón, F. Herrera, M.J. del Jesús, L. Magdalena, A.M. Sánchez, P. Villar. A Multiobjetive Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems. Intelligent System for Information Processing: From Representation to Applications, B. Bouchon-Meunier, L. Foulloy, R.R. Yager (Eds.), Elsevier, 2003, 315-326.
[0354] R. Alcalá, O. Cordón, F. Herrera, I. Zwir. An Iterative Learning Methodology to Design Hierarchical Systems of Linguistic Rules for Linguistic Modeling. In J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.): Accuracy Improvements in Linguistic Fuzzy Modeling, Studies in Fuzziness and Soft Computing Vol. 129, Springer Verlag, Germany, 2003, 277-301. ISBN 3-540-02933-8.
[0355] O. Cordón, M.J. del Jesus, F. Herrera, L. Magdalena, P. Villar. A Multiobjective Genetic Learning Process for Joint Feature Selection and Granularity and Context Learning in Fuzzy Rule-Based Classification Systems. Interpretability Issues in Fuzzy Modeling. /J./ Casillas, O. Cordón, F. Herrera, L. Magdalena. (Springer Verlag, Studies in Fuzziness and Soft Computing Vol. 128), 2003, 79-99.
[0361] J.R. Cano, F. Herrera, M. Lozano. Using Evolutionary Algorithms as Instance Selection for Data Reduction in KDD: An Experimental Study. IEEE Trans. on Evolutionary Computation 7:6 (2003) 561-575. doi: 10.1109/TEVC.2003.819265
[0426] J.J. Aguilera, M.J. del Jesus, P. González, F. Herrera, M. Navío, J. Sáinz. Extracción Evolutiva de Reglas de Asociación en un Servicio de Urgencias Psiquiátricas. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 548-555, February 2003.

2002 (40)

[0012] O. Cordón, I. Fernández de Viana, F. Herrera. Analysis of the Best-Worst Ant System and its Variants on the TSP. Mathware and Soft Computing 9:2-3 (2002) 177-192.
[0016] E. Herrera-Viedma, F. Herrera, F. Chiclana. A Consensus Model for Multiperson Decision Making with Different Preference Structures. IEEE Transactions on Systems, Man and Cybernetics. Part A: Systems and Man 32:3 (2002) 394-402. doi: 10.1109/TSMCA.2002.802821
[0023] J. Casillas, O. Cordón, F. Herrera. COR: A Methodology to Improve Ad Hoc Data-Driven Linguistic Rule Learning Methods by Inducing Cooperation Among Rules. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics 32:4 (2002) 526-537. doi: 10.1109/TSMCB.2002.1018771
[0024] M. Delgado, F. Herrera, E. Herrera-Viedma, M.J. Martin-Bautista, L. Martinez, M.A. Vila. A Communication Model Based on the 2-tuple Fuzzy Linguistic Representation for a Distributed Intelligent Agent System on Internet. Soft Computing 6:5 (2002) 320-328. doi: 10.1007/s00500-002-0185-7
[0025] O. Cordón, F. Herrera, I. Zwir. Linguistic Modeling by Hierarchical Systems of Linguistic Rules. IEEE Transactions on Fuzzy Systems 10:1 (2002) 2-20. doi: 10.1109/91.983275
[0026] F. Herrera, E. López, M.A. Rodríguez. A Linguistic Decision Model for Promotion Mix Management Solved with Genetic Algorithms. Fuzzy Sets and Systems 131:1 (2002) 47-61. doi: 10.1016/S0165-0114(01)00254-8
[0027] O. Cordón, F. Herrera, T. Stützle. A Review of the Ant Colony Optimization Metaheuristic: Basis, Models and New Trends. Mathware and Soft Computing 9:2-3 (2002) 141-175.
[0031] F. Chiclana, F. Herrera, E. Herrera-Viedma. A Note on the Internal Consistency of Various Preference Representations. Fuzzy Sets and Systems 131:1 (2002) 75-78. doi: 10.1016/S0165-0114(01)00256-1
[0134] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Techniques for designing and refining linguistic fuzzy models to improve their accuracy. In C.T. Leondes (Ed.): Intelligent Systems: Techniques and Applications, Volume II: Fuzzy Systems, Neural Networks and Expert Systems, CRC Press, Boca Raton, EE.UU., 2002, 143-180. ISBN 0-8493-1121-7.
[0135] F. Herrera, E. Herrera-Viedma, L. Martinez. Representation Models for Aggregating Linguistic Information: Issues and Analysis. Aggregation operators: New trends and applications. T. Calvo, G. Mayor, R. Mesiar (Eds.), (Physica-Verlag, 2002), 245-259.
[0136] F. Chiclana, F. Herrera, E. Herrera-Viedma. The Ordered Weighted Geometric Operator: Properties and Applications in MCDM Problems. Technologies for Constructing Intelligent Systems 2: Tools. B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, R.R. Yager (Eds.), (Physica-Verlag, 2002), 173-183.
[0137] J. Casillas, O. Cordón, F. Herrera. Different Approaches to Induce Cooperation in Fuzzy Linguistic Models Under the COR Methodology. B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, R.R. Yager (Eds.), Technologies for Constructing Intelligent Systems 1: Tasks (Physica-Verlag, 2002), 321-334.
[0178] J.R. Cano, O. Cordón, F. Herrera, L. Sánchez. A Greedy Randomized Adaptive Search Procedure Applied to the Clustering Problem as an Initialization Process Using K-Means as a Local Search Procedure. International Journal of Intelligent and Fuzzy Systems 12 (2002) 235-242.
[0201] F. Herrera, E. Herrera-Viedma, L. Martínez. An Information Retrieval System with Unbalanced Linguistic Information Based on the Linguistic 2-tuple Model. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002). Annecy (France), 23-30, 2002.
[0202] F. Herrera, L. Martínez, P.J. Sánchez, E. Herrera-Viedma. Managing Heterogeneous Information in Group Decision Making. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002). Annecy (France), 439-446, 2002.
[0203] F. Herrera, L. Martínez, E. Herrera-Viedma, F. Chiclana. Fusion of Multigranular Linguistic Information Based on the 2-tuple Fuzzy Linguistic Representation Model. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002). Annecy (France), 1155-1162, 2002.
[0207] E. Herrera-Viedma, F. Herrera, O. Cordón, M. Luque, A.G. López-Herrera. An Information Retrieval System with Weighed Querying Based on Multi-Granular Linguistic Information. Seventh Meeting of the EURO Working Group on Fuzzy Sets. Workshop on Information Systems. Proc. of EUROFUSE 2002, Varenna (Italy), 127-133, September 2002.
[0209] J. Casillas, O. Cordón, F. Herrera, J.J. Merelo. Cooperative coevolution for learning fuzzy rule-based systems. Proc. of the 5th International Conference on Artificial Evolution (EA'01), Le Creusot, France (2001) 97-108. Also in P. Collet, C. Fonlupt, J.-K. Hao, E. Lutton, M. Schoenauer (Eds.), Artificial Evolution, Lecture Notes on C. S., LNCS 2310 311, 2002.
[0210] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, I. Zwir. Hybridizing hierarchical and weighted linguistic rules. Proceedings of the 17th ACM Symposium on Applied Computing (SAC 2002), Madrid (Spain), 812-816, March 11-14, 2002.
[0211] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Hybridization of components to improve the accuracy in linguistic fuzzy modeling. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002), Vol. 3, Annecy (France), 1969-1977, July 1-5, 2002.
[0212] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Improvements to the COR nethodology by means of weighted fuzzy rules. 7th Online World Conference on Soft Computing and its Applications (WSC7 2002), September 23 - October 4, 2002.
[0213] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Improving simple linguistic fuzzy models by means of the weighted COR methodology. Proceedings of the 8th Ibero-American Conference on Artificial Intelligence, In F.J. Garijo, J.C. Riquelme, M. Toro (Eds.): Advances in Artificial Intelligence - IBERAMIA 2002, LNCS 2527, Seville (Spain), 294-302, November 12-15, 2002. ISSN 0302-9743.
[0214] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Mejoras a la metodología COR mediante el uso de reglas difusas ponderadas. Actas XI Congreso Español Sobre Tecnologías y Lógica Fuzzy (ESTYLF 2002), León (Spain), 541-546, September 17-20, 2002.
[0360] O. Cordón, I. Fernández de Viana, F. Herrera. Analysis of the Best-Worst Ant System and Its Variants on the QAP. Third International Workshop, ANTS2002, Brussel (Belgium), Springer Verlag, LNCS 2463, 228-234, September 2002.
[0403] J.R. Cano, F. Herrera, M. Lozano. Selección Evolutiva de Instancias en Minería de Datos: Un Estudio Experimental. F. Herrera, J.C. Riquelme, J. Aguilar (Eds.). Actas del Workshop de Minería de Datos y Aprendizaje, Sevilla (Spain), 137-152, November 2002.
[0404] J.J. Aguilera, M.J. del Jesús, P. González, F. Herrera, M. Navío, J. Sáiz. Modelos Evolutivos de Extracción de Conocimiento en Aplicaciones Médicas: Enfermedad de Parkinson y Urgencia Psiquiátricas. F. Herrera, J.C. Riquelme, J. Aguilar (Eds.). Actas del Workshop de Minería de Datos y Aprendizaje, Sevilla (Spain), 193-208, November 2002.
[0405] J.R. Cano, O. Cordón, F. Herrera, L. Sánchez. A GRASP Algorithm for Clustering. F.J. Garijo, J.C. Riquelme, M. Toro (Eds.), Advances in Artificial Intelligence IBERAMIA 2002, Proc. 8^th Ibero-American Conference on AI, Sevilla (Spain), LNCS 2527, Springer Verlag, 214-223, November 2002.
[0406] O. Cordón, F. Herrera, J. De la Montaña, A.M. Sánchez, P. Villar. A Prediction System of Cardiovascularity Diseases Using Genetic Fuzzy Rule-Based Systems. F.J. Garijo, J.C. Riquelme, M. Toro (Eds.), Advances in Artificial Intelligence IBERAMIA 2002, Proc. 8^th Ibero-American Conference on AI, Sevilla (Spain), LNCS 2527, Springer Verlag, 381-391, November 2002.
[0407] F. Herrera, M. Lozano, E. Pérez, A.M. Sánchez, P. Villar. Múltiple Crossover per Couple with Selection of the Two Best Offspring: An Experimental Study with BLX-α Crossover Operator for Real-Coded Genetic Algorithms. F.J. Garijo, J.C. Riquelme, M. Toro (Eds.), Advances in Artificial Intelligence IBERAMIA 2002, Proc. 8^th Ibero-American Conference on AI, Sevilla (Spain), LNCS 2527, Springer Verlag, 392-401, November 2002.
[0408] F. Chiclana, F. Herrera, E. Herrera-Viedma, L. Martínez. OWG Operators that Maintain Reciprocity property in the Aggregation of Multiplicative Preference Relations. Actas XI Congreso Español Sobre Tecnologías y Lógica Fuzzy, León (Spain), 165-169, September 2002.
[0409] O. Cordón, F. Herrera, M.J. del Jesus, L. Magdalena, A.M. Sánchez, P. Villar. Utilización de Algoritmos Genéticos Multiobjetivo para Selección de Características y Diseño de la Base de Conocimiento de un Sistema de Clasificación Basado en Reglas Difusas. Actas XI Congreso Español Sobre Tecnologías y Lógica Fuzzy, León (Spain), 411-416, September 2002.
[0410] O. Cordón, F. Herrera, F.A. Márquez, A. Peregrín. Estudio de los Métodos de Defuzzificación Adaptativos Evolutivos en Sistemas Basados en Reglas Difusas. Actas XI Congreso Español Sobre Tecnologías y Lógica Fuzzy, León (Spain), 429-435, September 2002.
[0411] O. Cordón, F. Herrera, M.J. del Jesús, L. Magdalena, A.M. Sánchez, P. Villar. A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002). Annecy (France), 823-830, September 2002.
[0412] F. Herrera, L. Martínez. Group Decisión Making Based on the Linguistic 2-Tuple Model in Heterogeneous Contexts. Proc. of the Fourth Int. Conference on Enterprise Information Systems (ICEIS'02), Vol. 1, Ciudad Real (Spain), 358-365, April 2002.
[0413] R. Alcalá, O. Cordón, F. Herrera, I. Zwir. Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems. Proc. of the Fourth Int. Conference on Enterprise Information Systems (ICEIS 2002), Vol. 1, Ciudad Real (Spain), 325-333, April 3-6, 2002.
[0414] F. Herrera, M. Lozano, E. Pérez, A.M. Sánchez. Una Propuesta de Generación de Múltiples Descendientes y de Selección de los 2 Mejores para Algoritmos Genéticos con Codificación Real con el Operador de Cruce BLX-α. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 15-22, 2002.
[0415] O. Cordón, F. Herrera, J. de la Montaña, A.M. Sánchez, P. Villar. Aprendizaje evolutivo de un sistema basado en reglas difusas para la predicción de enfermedades cardiovasculares. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 183-190, 2002.
[0416] O. Cordón, I. Fernández de Viana, F. Herrera. Análisis de las tres componentes que distinguen al sistema de la mejor peor hormiga. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 260-266, 2002.
[0417] J.J. Aguilera, MJ. del Jesús, R. González , F. Herrera, C. Iríbar, M. Navío. Un estudio sobre la aplicación de la selección de características y prototipos evolutivos al del diagnóstico de la Enfermedad del Parkinson. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 361-368, 2002.
[0418] S. Ventura, F. Herrera, J.M. Berná, C. Hervás. Evolución guiada mediante aprendizaje. Comparación en problemas de optimización. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 430-336,2002.

2001 (27)

[0017] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Building Fuzzy Graphs: Features and Taxonomy of Learning Non-Grid-Oriented Fuzzy Rule-Based Systems. International Journal of Intelligent Fuzzy Systems, 11 (2001) 99-119.
[0019] R. Alcalá, J. Casillas, J.L. Castro, A. Gonzalez, F. Herrera. A Multicriteria Genetic Tuning for Fuzzy Logic Controllers. Mathware and Soft Computing, Vol. 8:2 (2001) 179-201.
[0020] F. Herrera, L. Martínez. The 2-tuple Linguistic Computational Model. Advantages of its linguistic description, accuracy and consistency. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9:suppl. (Sept. 2001) 33-48.
[0021] O. Cordón, F. Herrera, P. Villar. Generating the Knowledge Base of a Fuzzy Rule-Based System by the Genetic Learning of Data Base. IEEE Transactions on Fuzzy Systems 9:4 (2001) 667-674.
[0032] J. Casillas, O. Cordón, F. Herrera, M.J. Del Jesus. Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process for High-Dimensional Problems. Information Sciences 136:1-4 (2001) 135-157.
[0033] F. Herrera, M. Lozano. Adaptative Genetic Operators Based on Coevolution with Fuzzy Behaviors. IEEE Transactions on Evolutionary Computation 5:2 (2001) 149-165.
[0035] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Improvement to the Cooperative Rules Methodology by Using the Ant Colony System Algorithm. Mathware and Soft Computing Vol 8:3 (2001) 321-335.
[0036] O. Cordón, F. Herrera, L. Magdalena, P. Villar. A Genetic Learning Process for the Scaling Factors, Granularity and Contexts of the Fuzzy Rule-Based System Data Base. Information Science 136 (2001) 85-107.
[0039] O. Cordón, F. Herrera, I. Zwir. Fuzzy Modeling by Hierarchically Built Fuzzy Rule Bases. International Journal of Approximate Reasoning 27 (2001) 61-93.
[0040] F. Chiclana, F. Herrera, E. Herrera-Viedma. Integrating Multiplicative Preference Relations in a Multipurpose Decision Making Model Based on Fuzzy Preference Relations. Fuzzy Sets and Systems 122 (2001), 277-291.
[0041] F. Herrera, L. Martínez. A model based on linguistic 2-tuples for dealing with multigranularity hierarchical linguistic contexts in Multiexpert Decision-Making. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics 31:2 (2001) 227-234.
[0042] F. Chiclana, F. Herrera, E. Herrera-Viedma. Multiperson Decision Making Based on Multiplicative Preference Relations. European Journal of Operational Research 129 (2001) 372-385.
[0043] O. Cordón, F. Herrera. Hybridizing Genetic Algorithms with Sharing Scheme and Evolution Strategies for Designing Approximate Fuzzy Rule-Based Systems. Fuzzy Sets and Systems 118:2 (2001) 235-255.
[0044] F. Herrera, E. López, C. Mendaña, M.A. Rodríguez. A Linguistic Decision Model for Personnel Management Solved with a Linguistic Biobjetictive Genetic Algorithm. Fuzzy Sets and Systems 118:1 (2001) 47-64.
[0138] M. Navío, J. Aguilera, M.J. del Jesus, R. Gonzalez, F. Herrera, M.C. Iribar. Feature Selection Algorithms Applied to Parkinson's Disease. Medical Data Analysis, LNCS 2199, 2001, 195-200.
[0140] M. Delgado, F. Herrera, E. Herrera-Viedma, M.J. Martin-Bautista, M.A. Vila. Combining Linguistic Information in a Distributed Intelligent Agent Model for Information Gathering on the Internet. In: Computing with Words, P.P. Wang, Ed., (John Wiley & Son, Wiley Series on Intelligent Systems) 2001, 251-276.
[0215] F. Herrera, E. Herrera-Viedma, L. Martínez. The use of linguistic information in operational research. 9th IFSA World Congress and 20th NAFIPS International Conference. Vancouver (Canada), 857-862, 2001.
[0216] F. Herrera, E. Herrera-Viedma, L. Martínez. A Hierarchical Ordinal Model for Managing Unbalanced Linguistic Term Sets Based on the Linguistic 2-Tuple Model. EUROFUSE Workshop on Preference Modelling and Applications, Granada (España), 201-206, 2001.
[0217] F. Chiclana, F. Herrera, E. Herrera-Viedma, L. Martínez. Preserving Reciprocity in the Aggregation of Fuzzy Preference Relations Using OWA Operators. EUROFUSE Workshop on Preference Modelling and Applications, Granada (España), 105-110, 2001.
[0218] J. Casillas, O. Cordón, M.J. Del Jesus, F. Herrera. Genetic tuning of fuzzy rule-based systems integrating linguistic hedges. Proceedings of the 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver (Canada), 1570-1574, 2001.
[0219] J. Casillas, O. Cordón, F. Herrera. A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. Proceedings of the International Conference in Fuzzy Logic and Technology (EUSFLAT 2001), Leicester (UK), 118-121, 2001.
[0220] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. Proceedings of the International Conference in Fuzzy Logic and Technology (EUSFLAT 2001), Leicester (United Kingdom), 237-240, September 5-7, 2001.
[0420] M. Navío, J.J. Aguilera, M.J. del Jesus, R. González, F. Herrera, C. Iríbar. Feature Selection Algorithms Applied to Parkinson's Disease. Medical Data Analysis (ISMDA'2001, Second International Symposium), Madrid (Spain), Lecture Notes in Computer Science 2199 195-200, October, 2001.
[0421] O. Cordón, F. Gomide, F. Herrera, F. Hoffmann, L. Magdalena. Ten Years of Genetic Fuzzy Systems: Current Framework and New Trends. Joint Nineth IFSA-NAFIPS International Conference. Vancouver (Canada), 1241-1246, July 2001.
[0422] O. Cordón, M.J. del Jesus, F. Herrera, P. Villar. A Multiobjective Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems. Joint Nineth IFSA-NAFIPS International Conference. Vancouver (Canada), 1253-1258, July 2001.
[0423] O. Cordón, F. Herrera, I. Zwir. Analyzing and Extending Hierarchical Systems of Linguistic Rules. Joint Nineth IFSA-NAFIPS International Conference. Vancouver (Canada), 1121-1126, July 2001.
[1607] J. Casillas, O. Cordón, F. Herrera, J.J. Merelo. Cooperative Coevolution for Learning Fuzzy Rule-Based Systems. Artificial Evolution, P. Collet, C. Fonlupt, J-K. Hao, E. Lutton, M. Schoenauer (Eds.), Lecture Notes in Computer Science 2310, Springer-Verlag, 2002, 311-322. (Selected Papers of the 5th Intl. Conf. EA2001, Lecreusot, France, Oct. 2001).

2000 (30)

[0046] F. Herrera, L. Martínez. A 2-tuple Fuzzy Linguistic Representation Model for Computing with Words. IEEE Transactions on Fuzzy Systems 8:6 (2000) 746-752.
[0047] F. Herrera, L. Martínez. An Approach for Combining Numerical and Linguistic Information based on the 2-tuple fuzzy linguistic representation model in Decision Making. International Journal of Uncertainty , Fuzziness and Knowledge -Based Systems 8:5 (2000) 539-562.
[0048] F. Herrera, M. Lozano. Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes. Applied Intelligence 13:3 (2000) 187-204.
[0049] O. Cordón, F. Herrera, P. Villar. Analysis and Guidelines to Obtain a Good Fuzzy Partition Granularity for Fuzzy Rule-Based Systems using Simulated Annealing. International Journal of Approximate Reasoning 25:3 (2000) 187-215.
[0050] O. Cordón, F. Herrera. A Proposal for Improving the Accuracy of Linguistic Modeling. IEEE Transactions on Fuzzy Systems 8:3 (2000) 335-344.
[0051] F. Herrera, M. Lozano. Gradual Distributed Real-Coded Genetic Algorithms. IEEE Transactions on Evolutionary Computation 4:1 (2000) 43-63.
[0052] F. Herrera, E. Herrera-Viedma. Choice Functions and Mechanisms for Linguistic Preference Relations. European Journal of Operational Research 120 (2000) 144-161.
[0053] F. Herrera, E. Herrera-Viedma, L. Martinez. A Fusion Approach for Managing Multi-Granularity Linguistic Term Sets in Decision Making. Fuzzy Sets and Systems 114 (2000) 43-58.
[0054] O. Cordón, F. Herrera, A. Peregrín. Searching for Basic Properties Obtaining Robust Implication Operators in Fuzzy Control. Fuzzy Sets and Systems 111:2 (2000) 237-251.
[0055] F. Herrera, E. Herrera-Viedma. Linguistic Decision Analysis: Steps for Solving Decision Problems under Linguistic Information. Fuzzy Sets and Systems 115 (2000) 67-82.
[0141] F. Herrera, M. Lozano. Adaptative Control of the Mutation Probability by Fuzzy logic Controllers. Parallel Problem Solving from Nature, LNCS 1917, 2000, 335-344.
[0142] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, I. Zwir. Techniques for Learning and Tuning Fuzzy Rule-Based Systems for Linguistic Modeling and Their Application. In: KNOWLEDGE-BASED SYSTEMS. Techniques and Applications Vol III. C.T. Leondes (Ed.), Academic Press, EE.UU., 2000, 889-941. ISBN 0-12-443878-4.
[0143] O. Cordón, M.J. del Jesus, F. Herrera, P. Villar, I. Zwir. Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modeling. In: Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications, E. Kerre, D. Ruan (Eds.), Kluwer Academic Pub., 2000, 189-221.
[0221] F. Herrera, M. Lozano. Adaptive Control of the Mutation Probability by Fuzzy Logic Controllers. Proc. 6th International Conference on Parallel Problem Solving from Nature - PPSN VI, Paris (France). M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J.J. Merelo, H-P. Schwefel (Eds.), Lecure Notes in Computer Science 1917, 335-344, September 2000.
[0222] O. Cordón, I. Fernández de Viana, F. Herrera, Ll. Moreno. A New ACO Model Integrating Evolutionary Computation Concepts: The Best-Worst Ant System. Proc. of ANTS'2000. From Ant Colonies to Artificial Ants: Second Interantional Workshop on Ant Algorithms, Brussels (Belgium), 22-29, September 7-9, 2000.
[0223] J. Casillas, O. Cordón, F. Herrera. Learning Fuzzy Rule-Based Systems Using Ant Colony Optimization Algorithms. Proc. of ANTS'2000. From Ant Colonies to Artificial Ants: Second Interantional Workshop on Ant Algorithms, Brussels (Belgium), September 7-9, 13-21, 2000.
[0224] F. Herrera, E. López, L. Martínez. The use of linguistic preference modelling based on 2-tuples and heuristics searches for improving enterprise processes. Proceedings of of MS'2000. Interantional Conference on Modelling and Simulation, Las Palmas de Gran Canaria (Spain), R. Berriel, V. Hernandez, R. Montenegro, J. Rocha (Eds.), 657-664, September 2000.
[0225] M.J. del Jesus, F. Herrera. Influencia del Uso de Modificadores Lingüísticos y Grados de Certeza en un Sistema de Clasificacion Basado en Reglas Difusas. X Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'2000). Sevilla (Spain), 303-308, Septiembre 2000.
[0226] F. Herrera, L. Martinez, P.J. Sanchez. Manejo de Contextos Lingüísticos Multigranulares Jerarquicos para el Modelado Lingüístico de Preferencias Basado en 2-tuplas. X Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'2000). Sevilla (Spain), 223-227, Septiembre 2000.
[0227] O. Cordón, F. Herrera, P. Villar. Aprendizaje Evolutivo de la Granularidad e las particiones Difusas y las Funciones de Pertenencia de un Sistema Basado en Reglas Difusas. X Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'2000). Sevilla (Spain), 417-422, Septiembre 2000.
[0228] J. Casillas, O. Cordón, F. Herrera. Generacion de Reglas Difusas con Buen Nivel de Cooperacion Mediante ALgoritmos de Hormigas. X Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'2000). Sevilla (Spain), 291-296, Septiembre 2000.
[0229] F. Chiclana, F. Herrera, E. Herrera-Viedma. The Ordered Weighted Geometric Operator: Properties and Application. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. II, 985-991, 2000.
[0230] E. Herrera-Viedma, F. Herrera, F. Chiclana. A Feedback Process to Model the Consensus in Multiperson Decision Making with Different Preference Representations. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. I, 626-632, 2000.
[0231] O. Cordón, M.J. del Jesus, F. Herrera. Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. I, 88-95, 2000.
[0232] O. Cordón, F. Herrera, L. Magdalena, P. Villar. A Genetic Learning Process for the Scaling Factors, Granularity and Contexts of the Fuzzy Rule-Based System Data Base. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. I, 430-437, 2000.
[0233] F. Herrera, L. Martinez, P.J. Sanchez. Integration of Heterogeneous Information in Decision-Making Problems. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. I, 633-640, 2000.
[0234] F. Herrera, L. Martinez. Computing with Words using the 2-tuple Linguistic Representation Model: Analysis of Consistency and Description. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. II, 765-772, 2000.
[0235] J. Casillas, O. Cordón, F. Herrera. Improving the Wang and Mendel's Fuzzy Rule Learning Method by Inducing Cooperation Among Rules. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. III, 1682-1688, 2000.
[0236] O. Cordón, F. Herrera, I. Zwir. Hierarchical Knowledge Bases for Fuzzy Rule-Based Systems. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. III, 1770-1777, 2000.
[0237] J. Casillas, O. Cordón, F. Herrera. Generación de reglas difusas con buen nivel de cooperación mediante algoritmos de hormigas. Proceedings of the X Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2000), Sevilla (Spain), 291-296, 2000.

1999 (19)

[0056] O. Cordón, F. Herrera. A Two-Stage Evolutionary Process for Designing TSK Fuzzy Rule-Based Systems. IEEE Transactions on Systems, Man,and Cybernetics. Part B: Cybernetics Vol. 29:6 (December 1999) 703-715.
[0057] O. Cordón, F. Herrera, A. Peregrín. A Practical Study on the Implementation of Fuzzy Logic Controllers. The International Journal of Intelligent Control and Systems 3 (1999) 49-91.
[0058] F. Herrera, M. Lozano, C. Moraga. Hierarchical Distributed Genetic Algorithms. International Journal of Intelligent Systems 14:11 (1999) 1099-1121.
[0059] O. Cordón, M. J. del Jesus, F. Herrera, M. Lozano. MOGUL: A Methodology to Obtain Genetic fuzzy rule-based systems Under the iterative rule Learning approach. International Journal of Intelligent Systems Vol. 14:11 (1999) 1123-1153.
[0060] F. Herrera, E. López, C. Mendaña, M.A. Rodríguez. Solving an Assignment-Selection Problem Under Linguistic Valuations with Genetic Algorithms. European Journal of Operational Research 119:2 (1999) 326-337.
[0061] O. Cordón, M.J. del Jesus, F. Herrera. A Proposal on Reasoning Methods in Fuzzy Rule-Based Classification Systems. International Journal of Approximate Reasoning Vol. 20 (1999), 21-45.
[0062] O. Cordón, F. Herrera, L. Sánchez. Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques. Applied Intelligence 10 (1999) 5-24.
[0144] O. Cordón, M.J. del Jesus, F. Herrera. Evolutionary Approaches to the Learning of Fuzzy Rule-Based Classification Systems. In: Evolution of Enginnering and Information Systems and Their Applications. L.C. Jain (Ed.), CRC Press, 1999, 107-160.
[0145] F. Herrera, E. López, C. Mendaña, M.A. Rodríguez. A Linguistic Decision Model to Suppliers Selection in International Purchasing. In: Computing with Words in Information/Intelligent Systems 2. Applications, J. Kacprzyk, L. Zadeh Eds., (Physica-Verlag, 1999), 500-524.
[0146] M. Delgado, F. Herrera, E. Herrera-Viedma, J.L. Verdegay, M.A. Vila. Aggregation of Linguistic Information Based on a Symbolic Approach. In: Computing with Words in Information/Intelligent Systems I. Foundations, L.A. Zadeh and J. Kacpryzk, Eds., (Physica-Verlag, 1999), 428-440.
[0147] O. Cordón, A. González, F. Herrera, R. Pérez. Encouraging Cooperation in the Genetic Iterative Rule Learning Approach for Qualitative Modeling. Computing with Words in Intelligent/Information Systems 2. Applications, J. Kacprzyk, L. Zadeh (Eds.), Physica-Verlag, 1999.
[0238] J.J. Aguilera, M.J. del Jesus, F. Herrera. Hibridacion de Metodos Filtro y de Envoltura para Seleccion de Caracteristicas. VIII COnferencia de la Asociacion Española para la Inteligencia Artificial, Murcia (Spain), Vol. I, 58-63, Noviembre 1999.
[0239] O. Cordón, F. Herrera, Ll. Moreno. Integracion de Conceptos de Computacion Evolutiva en un Nuevo Modelo de Colonias de Hormigas. VIII Conferencia de la Asociacion Española para la Inteligencia Artificial, (Seminario Especializado en Computacion Evolutiva), Murcia (Spain), Vol. II, 98-105, Noviembre 1999.
[0240] O. Cordón, F. Herrera. ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis. Third Intelligent Data Analysis Conference (IDA). Amsterdam (Holland). D.J. Hand, J.N. Kok. M.R. Berthold (Eds.), LNCS no. 1642, Springer-Verlag, 15-26, August 1999.
[0241] O. Cordón, F. Herrera, P. Villar. Influence of Fuzzy Partition Granularity on Fuzzy Rule-Based System Behaviour. Proc. EUSFLAT-ESTLYF Joint Conference 99, Palma de Mallorca (Spain), 159-162, September 1999.
[0242] O. Cordón, F. Herrera, A. Peregrin. Characterisation of Implication Operators in Fuzzy Rule Based Systems from Basic Properties. Proc. EUSFLAT-ESTLYF Joint Conference 99, Palma de Mallorca (Spain), 163-166, September 1999.
[0243] F. Herrera, L. Martínez. A Selection Method based on the 2-tuple Linguistic Representation Model for Decision-Making with Multi-Granularity Linguistic Information. Proc. EUSFLAT-ESTLYF Joint Conference 99, Palma de Mallorca (Spain), 453-456, September 1999.
[0244] F. Herrera, L. Martinez. A 2-tuple Fuzzy Linguistic Representation Model Based on a Symbolic Translation. Joint EUROFUSE-SIC '99 International Conference. Fourth Meeting Of The EURO Working Group on Fuzzy Sets And Second International Conference on Soft And Intelligent Computing, Budapest (Hungary), 25-28, May 1999.
[0245] M. Delgado, F. Herrera, E. Herrera-Viedma, M.J. Martin-Bautista, M.A. Vila. A Linguistic Information Process in a Distributed Intelligent Agent Model for Information Gathering on the Internet. Joint EUROFUSE-SIC '99 International Conference. Fourth Meeting Of The EURO Working Group on Fuzzy Sets And Second International Conference on Soft And Intelligent Computing, Budapest (Hungary), 172-177, May 1999.

1998 (15)

[0063] O. Cordón, M.J. del Jesus, F. Herrera. Analyzing the Reasoning Mechanisms in Fuzzy Rule-Based Classification Systems. Mathware and Soft Computing. Vol. 5: 2-3 (1998), 321-332.
[0064] O. Cordón, M.J. del Jesus, F. Herrera. Genetic Learning of Fuzzy Rule-Based Classification Systems Cooperating with Fuzzy Reasoning Methods. International Journal of Intelligent Systems 13:10-11 (1998) 1025-1053.
[0065] F. Herrera, M. Lozano, J.L. Verdegay. A Learning Process for Fuzzy Control Rules using Genetic Algorithms. Fuzzy Sets and Systems 100 (1998) 143-158.
[0066] M. Delgado, F. Herrera, E. Herrera-Viedma, L. Martinez. Combining Numerical and Linguistic Information in Group Decision Making. Information Sciences 107 (1998) 177-194.
[0067] F. Herrera, M. Lozano, J.L. Verdegay. Tackling Real-Coded Genetic Algorithms: Operators and tools for the Behaviour Analysis. Artificial Intelligence Review 12 (1998) 265-319.
[0068] F. Chiclana, F. Herrera, E. Herrera-Viedma. Integrating Three Representation Models in Fuzzy Multipurpose Decision Making Based on Fuzzy Preference Relations. Fuzzy Sets and Systems 97 (1998) 33-48.
[0069] O. Cordón, M.J. del Jesus, F. Herrera, M. Lozano. Modelado Cualitativo Utilizando una Metodología Evolutiva de Aprendizaje Iterativo de Bases de Reglas Difusas. Revista Iberoamericana de la Asociación Española para la Inteligencia Artificial. Num. 5 (1998), 56-61.
[0070] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Choice Processes for Non-Homogeneous Group Decision Making in Linguistic Setting. Fuzzy Sets and Systems. Vol. 94 (1998) 287-308.
[0247] F. Herrera, M. Lozano, C. Moraga. Hybrid Distributed-Real Coded Genetic Algorithms. 5th Int. Conf. Parallel Problem SOlving from Nature - PPSN V, Amsterdam (The Netherlands). A.E. Eiben, T. Back, M. Schoenauer, H-P. Schwefel (Eds.), LNCS 1498, Springer-Verlag, 603-612, September 1998.
[0248] O. Cordón, M.J. del Jesus, F. Herrera. Métodos de Razonamiento Aproximado Basados en el Concepto de Mayoría Difusa para Sistemas de Clasificación. VIII Congreso Español sobre Tecnologías y Lógica Fuzzy. Pamplona (Spain), 399-404, 1998.
[0249] O. Cordón, F. Herrera. Una Propuesta para Mejorar la Precisión del Modelado Linguístico. VIII Congreso Español sobre Tecnologías y Lógica Fuzzy. Pamplona (Spain), 199-204, 1998.
[0250] F. Herrera, E. Herrera-Viedma, L. Martínez. Un Modelo de Seleccion para Problemas de Decision con Multiples Expertos e Informacion Lingüística Multi-Granular. VIII Congreso Español sobre Tecnologías y Lógica Fuzzy. Pamplona (Spain), 333-338, 1998.
[0251] F. Herrera, E. Herrera-Viedma. Choice Functions for Linguistic Preference Relations. 6th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'98. Paris (Francia), 152-157, 1998.
[0252] O. Cordón, F. Herrera, L. Sánchez. Computing the Spanish Medium Electrical Line Maintenance Costs by means of Evolution-Based Learning Processes. Eleventh International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA-98-AIE). Castellón (Spain), LNAI, no. 1415, Springer-Verlag, 478-486, 1998.
[0444] O. Cordón, A. Espín, W. Fajardo, F. Herrera, L. Sánchez. Estimación de la Longitud de Línea de Baja Tensión Mediante Técnicas Evolutivas de Análisis de Datos. Octava Reunión Nacional de Grupos de Investigación en Ingeniería Eléctrica. Cádiz (Spain), 1998.

1997 (22)

[0071] F. Herrera, E. Herrera-Viedma. Aggregation Operators for Linguistic Weighted Information. IEEE Transactions on Systems, Man and Cybernetics. 27 (1997) 646-656.
[0072] O. Cordón, F. Herrera. A Three-Stage Evolutionary Process for Learning Descriptive and Approximative Fuzzy Logic Controller Knowledge Bases from Examples. International Journal of Approximate Reasoning 17:4 (1997) 369-407.
[0073] A. Gonzalez, F. Herrera. Multi-Stage Genetic Fuzzy Systems Based on the Iterative Rule Learning Approach. Mathware and Soft Computing 4:3 (1997) 233-249.
[0074] F. Herrera, J.L. Verdegay. Fuzzy Sets and Operations Research. Perspectives. Fuzzy Sets and Systems 90:2 (1997) 207-218.
[0075] F. Herrera, M. Lozano, J.L. Verdegay. Fuzzy Connectives Based Crossover Operators to Model Genetic Algorithms Population Diversity. Fuzzy Sets and Systems. Vol. 92-1 (1997) 21-30.
[0076] F. Herrera, L. Magdalena. Genetic Fuzzy Systems. Tatra Mountains Mathematical Publications Vol. 13, 1997, 93-121. R. Mesiar,B. Riecan(Eds.) Fuzzy Structures. Current Trends. L. N. Tutorial: Genetic Fuzzy Systems.7th IFSA World Congress,Prage,June 97.
[0077] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Linguistic Measures Based on Fuzzy Coincidence for Reaching Consensus in Group Decision Making. International Journal of Approximate Reasoning 16 (1997), 309-334.
[0078] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. A Rational Consensus Model in Group Decision Making using Linguistic Assessments. Fuzzy Sets and Systems Vol. 88:1 (1997), 31-49.
[0079] O. Cordón, F. Herrera, A. Peregrín. Applicability of the Fuzzy Operators in the Design of Fuzzy Logic Controllers. Fuzzy Sets and Systems Vol. 86:1 (1997), 15-41.
[0148] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Consensus Based on Fuzzy Coincidence for Group Decision Making in Linguistic Setting. Consensus Under Fuzziness, J. Kacprzyk, H. Nurmi, M. Fedrizzi (eds.), (International Series in Intelligent Technologies) Kluwer Academic, 1997, 121-146.
[0149] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Applications of the Linguistic OWA Operator in Group Decision Making. In: The Ordered Weighted Averaging Operators: Theory, Methodology and Applications, R.R. Yager and J. Kacprzyk (Eds.), Kluwer Academic, 1997, 207-218.
[0150] F. Herrera, E. Herrera-Viedma. On the Linguistic OWA Operator and Extensions. In: The Ordered Weighted Averaging Operators: Theory, Methodology and Applications, R.R. Yager and J. Kacprzyk (Eds.), Kluwer Academic, 1997, 60-72.
[0151] O. Cordón, F. Herrera, M. Lozano. A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography: 1989-1995. Genetic Algorithms and Fuzzy Logic Systems. Soft Computing Perspectives, E. Sanchez, T. Shibata, L. A. Zadeh (Eds.), World Scientific, 1997, 209-240.
[0152] O. Cordón, F. Herrera. Identification of Linguistic Fuzzy Models by Means of Genetic Algorithms. Fuzzy Model Identification. Selected Approaches, D. Driankov, H. Hellendoorn (Eds.), Springer Verlag, 1997, 215-250.
[0153] O. Cordón, F. Herrera, M. Lozano. On the Combination of Fuzzy Logic and Evolutionary Computation: A Short Review and Bibliography. Fuzzy Evolutionary Computation, W. Pedrycz (Ed.), Kluwer Academic, 1997, 57-77.
[0154] O. Cordón, F. Herrera, L. Sánchez. Evolutionary Learning Processes for Data Analysis in Electrical Engineering Applications. Genetic Algorithms and Evolution Strategies in Computer Science and Engineering, D. Quagliarelli, J. Periaux, C. Poloni, G. Winter (Eds.), John Wiley and Sons, 1997, 205-224.
[0253] O. Cordón, F. Herrera, A. Peregrín. A Study on the Use of Implication Operators Extending the Boolean Conjunction in Fuzzy Control. Seventh International Fuzzy Systems Association World Congress (IFSA). Praga (Czech), Vol. III, 243-248, 1997.
[0254] O. Cordón, M.J. del Jesus, F. Herrera, E. López. Selecting Fuzzy Rule-Based Classification Systems With Specific Reasoning Methods Using Genetic Algorithms. Seventh International Fuzzy Systems Association World Congress (IFSA). Praga (Czech), Vol. II, 424-429, 1997.
[0255] O. Cordón, F. Herrera. Evolutionary Design of TSK Fuzzy Rule-Based Systems Using (mu,lambda)-Evolutionary Strategies. Sixth IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Barcelona (Spain), Vol. I, 509-514, 1997.
[0256] O. Cordón, M.J. del Jesus, F. Herrera, M. Lozano. An Evolutionary Paradigm for Designing Fuzzy Rule-Based Systems from Examples. Second IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA). Glasgow (U.K.), 139-144, 1997.
[0257] F. Herrera, M. Lozano. Heterogeneous Distributed Genetic Algorithms Based on the Crossover Operator. Second IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA). Glasgow (U.K.), 203-208, 1997.
[0258] O. Cordón, M.J. del Jesus, F. Herrera. Nuevos Métodos de Razonamiento en Sistemas de Clasificación Basados en Reglas Difusas. VII Congreso Español sobre Tecnologías y Lógica Fuzzy. Tarragona (Spain), 109-114, 1997.

1996 (21)

[0080] F. Herrera, M. Lozano, J.L. Verdegay. Dynamic and Heuristic Fuzzy Connectives-Based Crossover Operators for Controlling the Diversity and Convengence of Real Coded Genetic Algorithms. Int. Journal of Intelligent Systems Vol. 11 (1996) 1013-1041.
[0081] F. Herrera, J.L. Verdegay. Fuzzy Control Rules in Optimization. International Journal of Science & Technology: Scientia Iranica. Vol. 3. no. 1,2,3 (1996) 89-96.
[0082] O. Cordón, F. Herrera, E. Herrera-Viedma, M. Lozano. Genetic Algorithms and Fuzzy Logic in Control Processes. Archives of Control Sciences. Vol. 5 (1996) 135-168.
[0083] F. Chiclana, F. Herrera, E. Herrera-Viedma, M.C. Poyatos. A classification method of alternatives for multiple preference ordering criteria based on fuzzy majority. The Journal of Fuzzy Mathematics 4 (1996) 801-813.
[0084] F. Herrera, J.L. Verdegay. Fuzzy Boolean Programming Problems with Fuzzy Cost: A general study. Fuzzy Sets and Systems Vol. 81 (1996) 57-76.
[0085] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Direct Approach Processes in Group Decision Making using Linguistic OWA operators. Fuzzy Sets and Systems 79 (1996) 175-190.
[0086] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. A model of consensus in group decision making under linguistic assessments. Fuzzy Sets and Systems 78 (1996) 73-87.
[0087] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. A Linguistic Decision Process in Group Decision Making. Group Decision and Negotiation. 5 (1996) 165-176.
[0155] F. Herrera, J.L. Verdegay. Making Decisions on Fuzzy Integer Linear Programming Problems. Fuzzy Logic Foundations and Industrial Applications. D. Ruan (Ed.) (International Series in Intelligent Technologies) Kluwer Academic, 1996, 147-164.
[0156] F. Herrera, M. Lozano. Adaptation of Genetic Algorithm Parameters based on Fuzzy Logic Controllers. Genetic Algorithms and Soft Computing, F. Herrera, J. L. Verdegay (Eds.), Physica-Verlag, 1996, 95-125.
[0157] O. Cordón, F. Herrera. A Hybrid Genetic Algorithm-Evolution Strategy Process for Learning Fuzzy Logic Controller Knowledge Bases. Genetic Algorithms and Soft Computing, F. Herrera, J. L. Verdegay (Eds.), Physica-Verlag, 1996, 251-278.
[0259] O. Cordón, F. Herrera, M. Lozano. On the Bidirectional Integration of Fuzzy Logic and Genetic Algorithms. 2nd Online Workshop on Evolutionary Computation (WEC2). Nagoya (Japan), 13-17, 1996.
[0260] F. Chiclana, F. Herrera, E. Herrera-Viedma. Preference Relations as the Information Representation Base in Multi-Person Decision Making. 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'96. Granada (España), Vol. I, 459-464, 1996.
[0261] O. Cordón, F. Herrera. Generating and Selecting Fuzzy Control Rules Using Evolution Strategies and Genetic Algorithms. Information Processing and Management of Uncertainly in Knowledge-Based Systems (IPMU), 733-738, 1996.
[0262] F. Herrera, M. Lozano. Adaptive Genetic Algorithms Based on Fuzzy Techniques. Information Processing and Management of Uncertainly in Knowledge-Based Systems (IPMU), 775-780, 1996.
[0263] F. Herrera, E. Herrera-Viedma, E. López. On the Linguistic Approach in Multi-Person Decision Making. International Conference on Intelligent Technologies in Human-Related Sciences, ITHURS'96. León (Spain), 205-213, 1996.
[0264] O. Cordón, F. Herrera, M. Lozano. A Three-Stage Method for Designing Genetic Fuzzy Systems by Learning from Examples. 4th International Conference on Parallel Problem Solving from Nature (PPSN IV). Berlin (Germany), LNCS-1141, 720-729, 1996.
[0265] F. Herrera, M. Lozano. Heuristic Crossover for Real-Coded Genetic ALgorithms Based on Fuzzy Connectives. 4th International Conference on Parallel Problem Solving from Nature (PPSN IV). Berlin (Germany), LNCS-1141, 336-345, 1996.
[0266] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Medidas Lingüísticas De Racionalidad Para Alcanzar El Consenso En Grupo. VI Congreso Español sobre Tecnologías y Lógica Fuzzy. Oviedo (Spain), 155-160, 1996.
[0267] O. Cordón, F. Herrera. Un Proceso Evolutivo para el Aprendizaje de Bases de Conocimiento de Controladores Difusos. VI Congreso Español sobre Tecnologías y Lógica Fuzzy. Oviedo (Spain), 89-94, 1996.
[0268] O. Cordón, M.J. del Jesus, F. Herrera. Sistema de Clasificacion con Reglas Difusas Utilizando Algoritmos Geneticos. VI Congreso Español sobre Tecnologías y Lógica Fuzzy. Oviedo (Spain), 95-100, 1996.

1995 (20)

[0088] F. Herrera, M. Lozano, J.L. Verdegay. The Use of Fuzzy Connectives to Design real-Coded Genetic Algorithms. Mathware and Soft Computing. Vo. 1:3 (1995) 239-251.
[0089] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Preference Degrees over Linguistic Preference Relations in Decision Making. Operational Research and Decisions 3 (1995) 37-48.
[0090] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. A Sequential Selection Process in Group Decision Making with a Linguistic Assessment Approach. Information Science 85 (1995) 223-239.
[0091] F. Herrera, J.L. Verdegay. Three Models of Fuzzy Integer Linear Programming. European Journal of Operational Research 83 (1995) 581-593.
[0092] F. Herrera, M. Lozano, J.L. Verdegay. Tuning Fuzzy Logic Controllers by Genetic Algorithms. International Journal of Approximate Reasoning 12 (1995) 299-315. doi: 10.1016/0888-613X(94)00033-Y
[0093] F. Herrera, M. Lozano, J.L. Verdegay. Algoritmos Geneticos: Fundamentos, Extensiones y Aplicaciones. ARBOR CLII 597 (1995) 9-40.
[0094] F. Herrera, M. Lozano, J.L. Verdegay. Algoritmos Geneticos con Parametros Reales. NOVATICA, May/jun 115 (1995) 36-41.
[0095] E. Cárdenas, J.C. Castillo, O. Cordón, F. Herrera, A. Peregrín. Applicability of T-Norms in Fuzzy Control. BUSEFAL 61 (1995) 28-36.
[0158] F. Herrera, J.L. Verdegay. On Group Decision Making under Linguistic Preferences and Fuzzy Linguistic Quantifiers. Fuzzy Logic and Soft Computing, B. Bouchon, R. Yager, L. Zadeh (Eds.), Word Scientific, 1995, 173-180.
[0159] F. Herrera, M. Lozano, J.L. Verdegay. Generating Rules from Examples using Genetic Algorithms. Fuzzy Logic and Soft Computing, B. Bouchon, R. Yager, L. Zadeh (Eds.), Word Scientific, 1995, 11-20.
[0160] O. Cordón, F. Herrera. A General Study on Genetic Fuzzy Systems. Genetic Algorithms in Engineering and Computer Science, G. Winter, J. Periaux, M. Galan, P. Cuesta (Eds.), John Wiley and Sons, 1995, 33-57.
[0161] F. Herrera, M. Lozano, J.L. Verdegay. Tackling Fuzzy Genetic Algorithms. Genetic Algorithms in Engineering and Computer Science, G. Winter, J. Periaux, M. Galan, P. Cuesta (Eds.), John Wiley and Sons, 1995, 167-189.
[0269] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Approaching Group Decision Making under linguistic assessments. 5rd International Workshop Current Issues in Fuzzy Technologies. CIFT'95. Trento (Italy), 205-208, 1995.
[0270] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Aggregating Linguistic Preferences: Properties of the LOWA Operator. 6th IFSA World Conference. Sao Paulo (Brasil), Vol. II, 153-157, 1995.
[0271] O. Cordón, F. Herrera, A. Peregrín. T-norms vs. Implication Functions as Implication Operators in Fuzzy Control. 6th IFSA World Conference. Sao Paulo (Brasil), Vol. I., 501-504, 1995.
[0272] F. Herrera, M. Lozano, J.L. Verdegay. Design of a Control Rules Base based on Genetic Algorithms. 6th IFSA World Conference. Sao Paulo (Brasil), Vol. I., 265-268, 1995.
[0273] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Basis for a Consensus Model in Group Decision Making with Linguistic Preferences. Third European Congress on Fuzzy and Intelligent Technologies. EUFIT'95. Aachen (Germany), 1265-1269, 1995.
[0274] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Medidas Lingüísticas para el Consenso en Grupo. V Congreso Español sobre Tecnologías y Lógica Fuzzy. Murcia (Spain), 309-314, 1995.
[0275] E. Cárdenas, J.C. Castillo, O. Cordón, F. Herrera, A. Peregrín. SCD: Una Herramienta Gráfica para el Estudio de Controladores Difusos. V Congreso Español sobre Tecnologías y Lógica Fuzzy. Murcia (Spain), 103-106, 1995.
[0276] F. Herrera, M. Lozano. Algoritmos Genéticos Heuristicos con Codificacion Real. VI Conferencia de la Asociación Española para la Inteligencia Artificial. Alicante (Spain), 11-20, 1995.

1994 (12)

[0096] F. Herrera, M. Lozano, J.L. Verdegay. Applying Genetic Algorithms in Fuzzy Optimization Problems. Fuzzy Systems and A.I.-Reports and Letters 3 (1994) 39-52.
[0097] F. Herrera, J.L. Verdegay. Fuzzy Almost Integer Variables in Integer Programming Problems. The Journal of Fuzzy Mathematics 2:2 (1994) 259-270.
[0098] F. Herrera, M. Kovacs, J.L. Verdegay. Homogeneous Linear Fuzzy Functions and Ranking Methods in Fuzzy Linear Programming Problems. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems 2:1 (1994) 25-35.
[0099] E. Cárdenas, J.C. Castillo, O. Cordón, F. Herrera, A. Peregrín. Influence of Fuzzy Implication Functions and Defuzzification Methods in Fuzzy Control. BUSEFAL 57 (1994) 69-79.
[0100] J.L. Castro, F. Herrera, J.L. Verdegay. Knowledge based systems and Fuzzy Boolean Programming. International Journal on Intelligent Systems 9:2 (1994) 211-225. doi: 10.1002/int.4550090203
[0162] F. Herrera. Models and methods in fuzzy discrete programming. Fuzzy Optimization. Recent Advances. M. Delgado, J. Kacprzyk, J.L. Verdegay, M.A. Vila (Eds.), Physica-Verlag, 1994, 255-271.
[0277] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. On Dominance Degrees in Group Decision Making with Linguistic Preferences. 4rd International Workshop Current Issues in Fuzzy Technologies. CIFT'94. Trento (Italy), 113-117, 1994.
[0278] F. Herrera, J.L. Verdegay. On group decision making under linguistic preferences and fuzzy linguistic quantifiers. 4th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases System, IPMU'94. París (France), 418-422, 1994.
[0279] F. Herrera, M. Lozano, J.L. Verdegay. Generating fuzzy rules from examples using genetic algorithms. 4th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases System, IPMU'94. París (France), 675-680, 1994.
[0280] F. Herrera, E. Herrera-Viedma, M. Lozano, J.L. Verdegay. Fuzzy tools to improve genetic algorithms. Second European Congress on Fuzzy and Intelligent Technologies. EUFIT'94. Aachen (Germany), Vol. III 1532-1539, 1994.
[0281] F. Herrera, M. Lozano, J.L. Verdegay. El uso de conectivos difusos en el diseño de algoritmos genéticos. IV Congreso Español sobre Tecnologías y Lógica Fuzzy. Blanes, 37-42, 1994.
[0282] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Un proceso de decisión en grupo con preferencias lingüísticas y selección secuencial. IV Congreso Español sobre Tecnologías y Lógica Fuzzy. Blanes, 215-220, 1994.

1993 (10)

[0101] F. Herrera, M. Kovacs, J.L. Verdegay. A Parametric Approach for (G,P)-Fuzzified Linnear Programming Problems. The Journal of Fuzzy Mathematics 1:3 (1993) 699-713.
[0102] F. Herrera, J.L. Verdegay, H.-J. Zimmermann. Boolean Programming Problems with Fuzzy Constraints. Fuzzy Systems and Systems 55:3 (1993) 285-293.
[0103] F. Herrera, M. Kovacs, J.L. Verdegay. Optimality for Fuzzified Mathematical Programming Problems: A Parametric Approach. Fuzzy Systems and Systems 54:3 (1993) 279-285.
[0104] M. Delgado, F. Herrera, J.L. Verdegay, A. Vila. Post-optimality Analysis on the Membership Functions of a Fuzzy Linear Programming Problem. Fuzzy Systems and Systems 53:3 (1993) 289-297.
[0283] F. Herrera, J.L. Verdegay. Linguistic assessments in group decision. First European Congress as Fuzzy and Intelligent Technologies. EUFIT'93. Aachen (Germany), Vol. II, 941-948, 1993.
[0284] J.L. Castro, M. Delgado, F. Herrera. A learning method of fuzzy reasoning by genetic algorithms. First European Congress as Fuzzy and Intelligent Technologies. Aachen (Germany), 1993, Vol. II, pp. 804-809.
[0285] F. Herrera, M. Lozano, J.L. Verdegay. Genetic Algorithms Applications to Fuzzy Logic Based Systems. 9th Polish-Italian and 5th Polish-Finnish Symposium on Systems Analysis. Warsaw (Poland), R. Kulilowski, K. Szkatula, J. Kacprzyk (Eds.), Omnitech Press, 125-134, 1993.
[0286] J.M. Cadenas, F. Herrera, J.L. Verdegay. PROBO: Un sistema interactivo de ayuda a la decisión para resolver problemas de programación lineal difusa. III Congreso Español sobre Tecnologías y Lógica Fuzzy. Santiago de Compostela (Spain), 89-96, 1993.
[0287] F. Herrera, M. Lozano, J.L. Verdegay. Un algoritmo genético para el ajuste de controladores difusos. III Congreso Español sobre Tecnologías y Lógica Fuzzy. Santiago de Compostela (Spain), 251-258, 1993.
[0288] F. Herrera, M. Lozano, J.L. Verdegay. Algoritmos geneticos con para metros reales. V Conferencia de la Asociación Española para la Inteligencia Artificial. Madrid (Spain), 41-50, 1993.

1992 (7)

[0105] F. Herrera, M. Kovacs, J.L. Verdegay. An Optimum Concept for Fuzzified Linear Programming Problems: A Parametric Approach. Tatra Mountains Mathematical Publications 1 (1992) 57-64.
[0106] M. Delgado, F. Herrera, J.L. Verdegay, M.A. Vila. Fuzzy Linear Programming Problems with Nonlinear Membership. Fuzzy Systems and A.I. Reports and Letters 1:1 (1992) 33-49.
[0289] J.L. Castro, F. Herrera, J.L. Verdegay. Solving Linear Boolean Programming Problems with Imprecise Cost. First IEEE International Conference on Fuzzy Systems. San Diego (USA), 1025-1032, 1992.
[0290] J.M. Cadenas, F. Herrera, J.L. Verdegay. An Interactive Decision Support System in Fuzzy Linear Programming Problems. 2rd International Workshop Current Issues in Fuzzy Technologies. CIFT'92. Trento (Italy), 19-27, 1992.
[0291] F. Herrera, M. Kovacs, J.L.Verdegay. Fuzzy Linear Programming Problems with Homogeneous Linear Fuzzy Functions. 4th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases System, IPMU'92. Palma de Mallorca (Spain), 361-364, 1992.
[0292] J.M. Cadenas, F. Herrera. Estudio de un sistema interactivo de ayuda a la decisión en problemas de optimización difusa. II Congreso Español sobre Tecnología y Lógica Fuzzy. Boadilla del Monte (Spain), 175-184, 1992.
[0293] J.L. Castro, M. Delgado, F. Herrera, J.L. Verdegay. Algoritmos Genéticos con Función de Evaluación Difusa y Aplicaciones. II Congreso Español sobre Tecnologías y Lógica Fuzzy. Boadilla del Monte (Spain), 147-159, 1992.

1991 (5)

[0163] F. Herrera. Introducción a algunos problemas de decisión en ambiente difuso. Algunos aspectos del tratamiento de la Informacion en Inteligencia Artificial, Dpto. Ciencias de la Computacion e I.A. (Ed.), Publicaciones de la Universidad de Granada, 1991, 41-56.
[0164] F. Herrera, J.L. Verdegay. Approaching Fuzzy Integer Linear programming Problems. Interactive Fuzzy Optimization, M. Fedrizzi, J. Kacprzyk, M. Roubens (Eds.), Springer-Verlag, 1991, 79-91.
[0294] J.L. Castro, F. Herrera. Approaching Fuzzy Boolean Linear Programming Problems with Imprecise Costs. 4th IFSA World Conference. Brussels (Belgium), Vol. Computer, Management & Systems Science, 31-35, 1991.
[0295] J.L. Castro, F. Herrera, J.L. Verdegay. Estudio de problemas de Programación Difusa Biobjetivo y su aplicación al Cálculo Proposicional. I Congreso Español sobre Tecnología y Lógica Fuzzy. Granada (Spain), 59-64, 1991.
[0296] J.L. Castro, F. Herrera, J.L. Verdegay. Problemas de Programación Booleana Difusa Biobjetivo y su Aplicación a Sistemas Basados en el Conocimiento. IV Reunión técnica de la AEPIA. Madrid (Spain), 89-98, 1991.

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