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Number of Results: 2849

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In Press (14)

  • [2981] L.B.Furstenau, Y.P. Reckziegel Rodrigues, M.K. Sott, P. Leivas, M.S. Dohan, J.R. López-Robles, M.J. Cobo, N.L. Bragazzi, K-K.R Choo. Internet of things: Conceptual network structure, main challenges and future directions. Digital Communications and Networks, in press. doi: 10.1016/j.dcan.2022.04.027
  • [2992] X. Wu, J. Wang, Q. Li, J. Cao, E. Herrera-Viedma, Y. Guo. Trust Maintenance in IoT for Smart Cities with Complex Network Metrics. Expert Systems with Applications. Accepted, 2022, in press.
  • [2796] W. Ding, W. Pedrycz, I. Triguero, Z. Cao, CT. Lin. Multigranulation Super-Trust Model for Attribute Reduction. IEEE Transactions on Fuzzy Systems, in press. doi: 10.1109/TFUZZ.2020.2975152
  • [2844] P. Lázaro-Rodríguez. Noticias digitales sobre bibliotecas públicas en España: mapeo de medios y análisis temático y de consumo basado en las interacciones en Facebook.. Profesional de la Información, Accepted, 2020., in press.
  • [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 BibTex Icon
    Read the paper

  • [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.
  • [2678] P. Tellez-Dominguez, J.A. Moral-Muñoz, E. Casado, A. Salazar, D. Lucena-Anton. Efectos de la realidad virtual sobre el equilibrio y marcha en ictus: revisión sistemática y meta-análisis. Revista de Neurología, in press.
  • [2679] M.E. Ortega-Martín, D. Lucena-Anton, C. Luque-Moreno, A.M. Heredia-Rizo, J.A. Moral-Muñoz. Aplicaciones móviles en el abordaje terapéutico del ictus: Revisión en respositorios comerciales y búsqueda de evidencia. Revista Española de Salud Pública, in press.
  • [2597] F.J. Baldán, J.M. Benítez. Distributed FastShapelet Transform: a Big Data time series classification algorithm. Information Sciences, Accepted, in press. doi: 10.1016/j.ins.2018.10.028 BibTex Icon
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes

  • [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
  • [2376] C. R. Cloninger, I. Zwir. What is the natural measurement unit of temperament: single traits or profiles?. Philosophical Transactions B, in press.


2024 (15)

  • [3060] H. Wang, Y. Ju, P. Dong, A. Wang, F.J. Cabrerizo. Preference-based regret three-way decision method on multiple decision information systems with linguistic Z-numbers. Information Sciences 654 (2024) 119861. doi: 10.1016/j.ins.2023.119861
  • [3063] Z. Wu, P. Gao, Y. Wang, X. Xu, N. Wan, F.J. Cabrerizo. Robust minimum cost consensus models with uncertain asymmetric costs based on linear uncertain-constrained tolerance level. Engineering Applications of Artificial Intelligence 130 (2024) 107699. doi: 10.1016/j.engappai.2023.107699
  • [3064] X. Sun, J. Zhu, J. Wang, I.J. Pérez, F.J. Cabrerizo. Consensus-reaching process in multi-stage large-scale group decision-making based on social network analysis: Exploring the implication of herding behavior. Information Fusion 104 (2024) 102184. doi: 10.1016/j.inffus.2023.102184
  • [3065] J.C. González-Quesada, A. Velykorusova, A. Banaitis, A. Kaklauskas, F.J. Cabrerizo. Non-uniform allocation of information granularity to improve consistency and consensus in multi-criteria group decision-making: Application to building refurbishment. Engineering Applications of Artificial Intelligence 130 (2024) 107737. doi: 10.1016/j.engappai.2023.107737
  • [3066] J.C. González-Quesada, I.J. Pérez, E. Herrera-Viedma, F.J. Cabrerizo. A study of different protocols of distribution of information granularity to build consensus in fuzzy group decision-making. Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS 57), Honolulu, Hawaii (USA), 1754-1763, January 3-6, 2024.
  • [3093] Y. Li, I.J. Pérez, F.J. Cabrerizo, H. Garg, J.A. Morente-Molinera. A belief rule-based classification system using fuzzy unordered rule induction algorithm. Information Sciences 667 (2024) 120462. doi: 10.1016/j.ins.2024.120462
  • [3094] S. Giannoukakos, S. D'Ambrosi, D. Koppers-Lalic, C. Gómez-Martín, A. Fernandez, M. Hackenberg. Assessing the complementary information from an increased number of biologically relevant features in liquid-biopsy-derived RNA-Seq datarr. Heliyon 10:6e27360 (2024). doi: 10.1016/j.heliyon.2024.e27360
  • [3095] A. Torres-Martos, A. Anguita, J. Alcalá-Fdez. Inteligencia Artificial en Nutrición. In: Á. Gil, M. Gil Campos, E. Martínez de Victoria Muñoz, E. Molina Montes (Eds.): Tratado de Nutrición, Tomo IV - Nutrición Humana en el Estado de Salud, Editorial Médica Panamericana, 2024, 721-734. ISBN 978-84-1106-164-3. BibTex Icon
  • [3096] J. Zhang, F. Liu, Z. Liu, I.J. Pérez, F.J. Cabrerizo. Existence and simulation of multiple solutions to an optimization model for completing incomplete fuzzy preference relations. Applied Intelligence 54 (2024) 9395–9411. doi: 10.1007/s10489-024-05667-9
  • [3097] J.R. Trillo, F.J. Cabrerizo, I.J. Pérez, J.A. Morente-Molinera, E. Herrera-Viedma. A new consensus reaching method for group decision-making based on the large language model Gemini for detecting hostility during the discussion process. 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), Madrid (Spain), May 23-24, 2024. doi: 10.1109/EAIS58494.2024.10570029
  • [3098] J.C. González-Quesada, I.J. Pérez, S. Alonso, J.M. Tapia, E. Herrera-Viedma, F.J. Cabrerizo. Distribución no uniforme de la granularidad de la información para mejorar la consistencia y el consenso en toma de decisiones en grupo. XX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2024), A Coruña (Spain), 371-372, June 19-21, 2024.
  • [3099] J.R. Trillo, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo, I.J. Pérez. Un método de ayuda a la toma de decisiones en grupo basado en el comportamiento de los expertos durante el debate. XX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2024), A Coruña (Spain), 373-374, June 19-21, 2024.
  • [3100] A. Torres-Martos, A. Anguita-Ruiz, M. Bustos-Aibar, A. Ramírez-Mena, M. Arteaga, G. Bueno, R. Leis, C.M. Aguilera, R. Alcalá, J. Alcalá-Fdez. Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study. Artificial Intelligence in Medicine 156 (2024) 102962. doi: 10.1016/j.artmed.2024.102962 BibTex Icon
  • [3101] J. Lopez-Martinez, P. Checa, J.M. Soto-Hidalgo, I. Triguero, A. Fernández. A Wearable Eye-Tracking Approach for Early Autism Detection with Machine Learning: Unravelling Challenges and Opportunities. 2024 International Joint Conference on Neural Networks (IJCNN).
  • [3102] J.C. González-Quesada, J.R. Trillo, M.A. Martínez, E. Herrera-Viedma, F.J. Cabrerizo. Large-scale group decision-making: A bibliometrics study. 11th International Conference on Information Technology and Quantitative Management (ITQM 2024), Procedia Computer Science 242, Bucharest (Romania), 1198-1205, August 23-25, 2024. doi: 10.1016/j.procs.2024.08.166


2023 (48)

  • [2926] R. Zhang, J. Huang, Y. Xu, E. Herrera-Viedma. Consensus models with aggregation operators for minimum quadratic cost in group decision making. Applied Intelligence 53:1370–1390. doi: 10.1007/s10489-021-02948-5
  • [2935] J. Pereira Amorim, P.H. Abreu, A. Fernández, M. Reyes, J. Santos, M. H. Abreu. Interpreting Deep Machine Learning Models: An Easy Guide for Oncologists. IEEE Reviews in Biomedical Engineering, 16 (2023) 192 - 207. doi: 10.1109/RBME.2021.3131358 PDF Icon
  • [2954] C. Sáenz-Royo, F. Chiclana, E. Herrera-Viedma. Functional representation of the intentional bounded rationality of decision-makers: A laboratory to study the decisions a priori. Mathematics, 10(5), 739, Accepted, 2022.. doi: 10.3390/math10050739
  • [2956] Y. Xu, S. Zhu, X. Liu, J. Huang, E. Herrera-Viedma. Additive consistency exploration of linguistic preference relations with self-confidence. Artificial Intelligence Review volume 56, pages257–285 (2023). doi: 10.1007/s10462-022-10172-x
  • [2963] R. Fang, H. Liao, Z. Xu, E. Herrera-Viedma. Risk assessment in project management by a graph-theory-based group decision making method with comprehensive linguistic preference information. Economic Research-Ekonomska Istraživanja, (2023) Volume 36, NO. 1, Pages: 86 – 115. doi: 10.1080/1331677X.2022.2070772
  • [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
  • [2978] H. Hassani, R. Razavi-Far, M. Saif, F. Chiclana, O. Krejcar, E. Herrera-Viedma. Classical Dynamic Consensus and Opinion Dynamics Models: A Survey of Recent Trends and Methodologies. Information Fusion, Volume 88, December 2022, Pages 22-40, Accepted, 2022.. doi: 10.1016/j.inffus.2022.07.003
  • [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
  • [2990] F. Ji, F. Chiclana, M. Zhou, E. Herrera-Viedma, J. Wu. Ordinal and joint feedback mechanism to support group consensus based on interval-valued number with self-confidence. Information Fusion, Volume 88, December 2022, Pages 202-217, Accepted, 2022.. doi: 10.1016/j.inffus.2022.07.021
  • [2997] M.S. Santos, P.H. Abreu, N. Japkowicz, A. Fernández, J. Santos. A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research. Information Fusion 89 (2023) 228-253. doi: 10.1016/j.inffus.2022.08.017 PDF Icon
  • [3000] C. Sáenz-Royo, F. Chiclana, E. Herrera-Viedma. Intentional bounded rationality methodology to assess the quality of decision-making approaches with latent alternative performances. Information Fusion, Volume 89, January 2023, Pages 254-266. doi: 10.1016/j.inffus.2022.08.019
  • [3007] J.R. Trillo, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo. A large scale group decision making system based on sentiment analysis cluster. Information Fusion 91 (2023) 633-643. doi: 10.1016/j.inffus.2022.11.009
  • [3008] X. Xu, Z. Gong, E. Herrera-Viedma, G. Kou, F.J. Cabrerizo. Consensus reaching in group decision making with linear uncertain preferences and asymmetric costs. IEEE Transactions on Systems, Man, and Cybernetics: Systems 53:5 (2023) 2887-2899. doi: 10.1109/TSMC.2022.3220837
  • [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 PDF Icon BibTex Icon
  • [3018] Y. Du, Z.S. Chen, J. Yang, J.A. Morente-Molinera, L. Zhang, E. Herrera-Viedma. A Textual Data-Oriented Method for Doctor Selection in Online Health Communities. Sustainability 15, no. 2: 1241. doi: 10.3390/su15021241
  • [3019] J. Herce-Zelaya, C. Porcel, A. Tejeda-Lorente, J. Bernabé-Moreno, E. Herrera-Viedma. Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems. Information 14, no. 1: 19. doi: 10.3390/info14010019
  • [3020] Z. Yan, W. Liu, W. Xing, E. Herrera-Viedma. A Multi-Objective Mission Planning Method for AUV Target Search. Journal of Marine Science and Engineering 11, no. 1: 144. doi: 10.3390/jmse11010144
  • [3021] A.I. Maghsoodi, A.E. Torkayesh, L.C. Wood, E. Herrera-Viedma, K. Govindan. A machine learning driven multiple criteria decision analysis using LS-SVM feature elimination: Sustainability performance assessment with incomplete data. Engineering Applications of Artificial Intelligence,Volume 119, 2023. doi: 10.1016/j.engappai.2022.105785
  • [3030] Á. Torres-Martos, M. Bustos-Aibar, A. Ramírez-Mena, S. Cámara-Sánchez, A. Anguita-Ruiz, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. Omics Data Preprocessing for Machine Learning: A Case Study in Childhood Obesity. Genes 14:2 (2023) 248. doi: 10.3390/genes14020248 BibTex Icon
  • [3031] F.J. Cabrerizo, A. Kaklauskas, I.J. Pérez, E. Herrera-Viedma. A granular-based approach to address multiplicative consistency of reciprocal preference relations in decision-making. Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS 56), Maui, Hawaii (USA), 1541-1550, January 3-6, 2023.
  • [3032] F. Aghaei, M. Sabokrou, A. Fernandez. Fuzzy Rule-Based Explainer Systems for Deep Neural Networks: From Local Explainability to Global Understanding. IEEE Transactions on Fuzzy Systems 31:9 (2023) 3069-3080. doi: 10.1109/TFUZZ.2023.3243935 PDF Icon
  • [3033] S. Kumar-Das, N. Dey, R. Gonzalez-Crespo, E. Herrera-Viedma. A Non-Linear Multi-Objective Technique for Hybrid Peer-to-Peer Communication. Information Sciences 629 (2023) 413–439. doi: 10.1016/j.ins.2023.01.117
  • [3038] J. Zhu, X. Ma, Gang Kou, E. Herrera-Viedma, J. Zhan. A three-way consensus model with regret theory under the framework of probabilistic linguistic term sets. Information Fusion, Volume 95, 2023, 250-274.. doi: 10.1016/j.inffus.2023.02.029
  • [3039] E. Hallaji, R. Razavi-Far, M. Saif, E. Herrera-Viedma. Label noise analysis meets adversarial training: A defense against label poisoning in federated learning. Knowledge-Based Systems,Volume 266, 2023, 110384. doi: 10.1016/j.knosys.2023.110384
  • [3040] Q. Jia, E. Herrera-Viedma. Pythagorean Fuzzy Sets to Solve Z-Numbers in Decision-Making Model. IEEE Transactions on Fuzzy Systems, vol. 31, no. 3, pp. 890-904, March 2023. doi: 10.1109/TFUZZ.2022.3191359
  • [3041] S. D'Ambrosi, S. Giannoukakos, M. Antunes-Ferreira, C. Pedraz-Valdunciel, J. W. P. Bracht, N. Potie, A. Gimenez-Capitan, M. Hackenberg, A. Fernandez, M. A. Molina-Vila, R. Rosell, T. Würdinger, D. Koppers-Lalic. Combinatorial Blood Platelets-Derived circRNA and mRNA Signature for Early-Stage Lung Cancer Detection. International Journal of Molecular Sciences 24:5 (2023) 4881:1-4881:17. doi: 10.3390/ijms24054881 PDF Icon
  • [3042] C. Xu, C. Xu, W. Xing, E. Herrera-Viedma. Guided Trajectory Filtering for Challenging Long-range AUV Navigation. IEEE Trans. on Instrumentation and Measurement, 2023.
  • [3043] C. Biedma-Rdguez, M.J. Gacto, A. Anguita-Ruiz, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy. Fuzzy Sets and Systems 465 (2023) 108511. doi: 10.1016/j.fss.2023.03.014 BibTex Icon
  • [3047] J.R. Trillo, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo. A group decision-making method based on the experts' behaviour during the debate. IEEE Transactions on Systems, Man, and Cybernetics: Systems 53:9 (2023) 5796-5808. doi: 10.1109/TSMC.2023.3275056
  • [3048] Y. Li, E. Herrera-Viedma, I.J. Pérez, M. Barragán-Guzmán, J.A. Morente-Molinera. Z-number-valued rule-based classification system. Applied Soft Computing, 137, 110168..
  • [3049] A. Velez-Estevez, I.J. Pérez, P. García-Sánchez, J.A. Moral-Muñoz, M.J. Cobo. New trends in bibliometric APIs: A comparative analysis. Information Processing & Management, 60(4), 103385..
  • [3050] M. Bustos-Aibar, C.M. Aguilera, J. Alcalá-Fdez, F.J. Ruiz-Ojeda, J. Plaza, A. Plaza-Florido, I. Tofe, M. Gil-Campos, M.J. Gacto, A. Anguita-Ruiz. Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in boys with obesity. Computers in Biology and Medicine 163 (2023) 107085. doi: 10.1016/j.compbiomed.2023.107085 BibTex Icon
  • [3053] A. Ramírez-Mena, E. Andrés-León, M.J. Alvarez-Cubero, A. Anguita-Ruiz, L.J. Martinez-Gonzalez, J. Alcalá-Fdez. Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression. Computer Methods and Programs in Biomedicine 240 (2023) 107719. doi: https://doi.org/10.1016/j.cmpb.2023.107719 BibTex Icon
  • [3054] M. Arteaga, M.J. Gacto, M. Galende, J. Alcalá-Fdez, R. Alcalá. Enhancing soft computing techniques to actively address imbalanced regression problems. Expert Systems with Applications 234 (2023) 121011. doi: 10.1016/j.eswa.2023.121011 BibTex Icon
  • [3055] Q. Ran, X. Chao, F.J. Cabrerizo, E. Herrera-Viedma. Managing overconfidence behaviors from heterogeneous preference relations in linguistic group decision making. IEEE Transactions on Fuzzy Systems 31:7 (2023) 2435-2449. doi: 10.1109/TFUZZ.2022.3226321
  • [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 PDF Icon BibTex Icon
  • [3057] J.R. Trillo, S. Alonso, I.J. Pérez, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo. A multi-criteria group decision-making method in changeable scenarios based on self-adjustment of weights using reciprocal preference relations. 13th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2023) and 12th International Summer School on Aggregation Operators (AGOP 2023), Lecture Notes in Computer Science 14069, Palma de Mallorca (Spain), 185-196, September 4-8, 2023. doi: 10.1007/978-3-031-39965-7_16
  • [3058] J.R. Trillo, I-J. Pérez, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo. A group decision-making method based on reciprocal preference relations created from sentiment analysis. 36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2023), Lecture Notes in Artificial Intelligence (LNAI) 13925, Shanghai (China), 183-194, July 19-22, 2023. doi: 10.1007/978-3-031-36819-6_16
  • [3059] J.A. Morente-Molinera, M. Barragán-Guzmán, J.R. Trillo, M.A. Martínez, F.J. Cabrerizo, E. Herrera-Viedma. Reviving stagnated debates in group decision making environments with high number of alternatives. 10th International Conference on Information Technology and Quantitative Management (ITQM 2023), Procedia Computer 221, Oxford (United Kingdom), 65-72, August 12-14, 2023. doi: 10.1016/j.procs.2023.07.010
  • [3061] J.R. Trillo, F.J. Cabrerizo, M.J. del Moral, J.A. Morente-Molinera, J.M. Tapia, E. Herrera-Viedma. A consensus-based multi-criteria group decision-making method based on an aggregated operator customised by experts. 9th International Conference on Control, Decision and Information Technologies (CoDIT 2023), Roma (Italy), 1302-1307, July 3-6, 2023.
  • [3062] J.C. González-Quesada, I.J. Pérez, J.A. Morente-Molinera, S. Alonso, E. Herrera-Viedma, F.J. Cabrerizo. Analyzing different protocols of information granularity distribution to improve consistency of fuzzy preference relations in decision-making. 2023 IEEE Symposium Series on Computational Intelligence (SSCI 2023), Mexico City (Mexico), 1497-1502, December 5-8, 2023.
  • [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 (80)

  • [2980] M.J. Cobo, I.J. Pérez, A. Velez-Estevez, F.J. Cabrerizo. Uncovering the conceptual evolution of sentiment analysis research field during the period 2017–2021. 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), Larnaca (Cyprus), May 25-26, 2022. doi: 10.1109/EAIS51927.2022.9787534
  • [2982] M. Toscano, M.J. Cobo, E. Herrera-Viedma. Software solutions for web information systems in digital humanities: review, analysis and comparative study. Profesional De La información, 31:2 (2022). doi: 10.3145/epi.2022.mar.11
  • [2979] Y. Li, F.J. Cabrerizo, E. Herrera-Viedma, J.A. Morente-Molinera. A modified uncertainty measure of z-numbers. International Journal of Computers Communications & Control 17:4 (2022) 4862. doi: 10.15837/ijccc.2022.4.4862
  • [2859] H. Lu, Y. Zhu, Q. Lin, T. Wang, Z. Niu, E. Herrera-Viedma. Heterogeneous Knowledge Learning of Predictive Academic Intelligence in Transportation. IEEE Transactions on Intelligent Transportation Systems (Volume: 23, Issue: 4, April 2022) Pages: 3737 – 3755. doi: 10.1109/TITS.2020.3041904
  • [2870] G. Beliakov, F.J. Cabrerizo, E. Herrera-Viedma, J.-Z. Wu. Random generation of k-interactive capacities. Fuzzy Sets and Systems 430 (2022) 48-55. doi: 10.1016/j.fss.2020.12.010
  • [2876] F. Aghaeipoor, M. M. Javidi, A. Fernandez. IFC-BD: An Interpretable Fuzzy Classifier for Boosting Explainable Artificial Intelligence in Big Data. IEEE Transactions on Fuzzy Systems 30:3 (2021) 830-840. doi: 10.1109/TFUZZ.2021.3049911 PDF Icon
  • [2888] C-C Li, Y. Dong, F. Chiclana, E. Herrera-Viedma. Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics. IEEE Transactions on Cybernetics (Volume: 52, Issue: 7, July 2022) Pages: 6170 – 6180. doi: 10.1109/TCYB.2021.3072147
  • [2890] Q. Sun, J. Wu, F. Chiclana, H. Fujita, E. Herrera-Viedma. A dynamic feedback mechanism with attitudinal consensus threshold for minimum adjustment cost in group decision making. IEEE Transactions on Fuzzy Systems (Volume: 30, Issue: 5, May 2022) Pages: 1287 - 1301. doi: 10.1109/TFUZZ.2021.3057705
  • [2891] J.A. Morente-Molinera, Y. Wang, Z. -W. Gong, A. Morfeq, R. Al-Hmouz, E. Herrera-Viedma. Reducing Criteria in Multicriteria Group Decision-Making Methods Using Hierarchical Clustering Methods and Fuzzy Ontologies. IEEE Transactions on Fuzzy Systems ( Volume: 30, Issue: 6, June 2022) Pages: 1585 – 1598. doi: 10.1109/TFUZZ.2021.3062145
  • [2893] H. Zhang, F. Wang, Y. Dong, F. Chiclana, E. Herrera-Viedma. Social trust-driven consensus reaching model with a minimum adjustment feedback mechanism considering assessments-modifications willingness. IEEE Transactions on Fuzzy Systems (Volume: 30, Issue: 6, June 2022) Pages: 2019 – 2031. doi: 10.1109/TFUZZ.2021.3073251
  • [2896] J. Wu, S. Wang, F. Chiclana, E. Herrera-Viedma. Two-fold Personalized Feedback Mechanism for Social Network Consensus by Uninorm Interval Trust Propagation. IEEE Transactions on Cybernetics, ( Volume: 52, Issue: 10, October 2022) Pages: 11081 – 11092. doi: 10.1109/TCYB.2021.3076420
  • [2897] A. Yazidi, M. Ivanovska, F. M. Zennaro, P. G. Lind, E. Herrera-Viedma. A new decision making model based on rank centrality for GDM with fuzzy preference relations. European Journal of Operational Research, 297:3 (2022) 1030-1041.
  • [2917] X. Ma, Z. Gong, G. Wei, E. Herrera-Viedma. New Consensus Model Based on TrustInteractive Weights for Intuitionistic Group Decision Making in Social Networks. IEEE Transactions on Cybernetics ( Volume: 52, Issue: 12, December 2022) Pages: 13106 – 13119. doi: 10.1109/TCYB.2021.3100849
  • [2923] Q. Zha, Y. Don, F. Chiclana, E. Herrera-Viedma. Consensus Reaching in Multiple Attribute Group Decision Making: A Multi-Stage Optimization Feedback Mechanism with Individual Bounded Confidences. IEEE Transactions on Fuzzy Systems ( Volume: 30, Issue: 8, Pages: 3333 – 3346, August 2022). doi: 10.1109/TFUZZ.2021.3113571
  • [2932] Y. Xu, W. Dai, J. Huang, M. Li, E. Herrera-Viedma. Some models to manage additive consistency and derive priority weights from hesitant fuzzy preference relations. Information Sciences 586 (2022) 450-467. doi: 10.1016/j.ins.2021.12.002
  • [2933] M. Zhou, M. Hu, Y-W. Chen, B-Y. Cheng, J. Wu, E. Herrera-Viedma. Towards achieving consistent opinion fusion in group decision making with complete distributed preference relations. Knowledge-Based Systems, Volume 236, 2022. doi: 10.1016/j.knosys.2021.107740
  • [2934] J-W. Zhang, F. Liu, H-Ni. Tu, E. Herrera-Viedma. A decision-making model with sequential incomplete additive pairwise comparisons. Knowledge-Based Systems 236 (2022) 107766. doi: 10.1016/j.knosys.2021.107766
  • [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 PDF Icon
  • [2940] F.J. Cabrerizo, J.C. González-Quesada, I.J. Pérez, E. Herrera-Viedma. A granular computing-based model for group decision-making in multi-criteria and heterogeneous environments. Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS 55), Maui, Hawaii (USA), 2077-2086, January 4-7, 2022. doi: 10.24251/HICSS.2022.262
  • [2941] S. Wang, J. Wu, F. Chiclana, Q. Sun, E. Herrera-Viedma. Two stage feedback mechanisms with different power structures for consensus in large-scale group decision-making. IEEE Transactions on Fuzzy Systems ( Volume: 30, Issue: 10, October 2022) pp. 4177 – 4189. doi: 10.1109/TFUZZ.2022.3144536
  • [2942] C- Pedraz-Valdunciel, S. Giannoukakos, N. Potie, A. Gimenez-Capitan,C-Y Huang,M. Hackenberg, A. Fernandez, J. Bracht, M. Filipska, E. Aldeguer, S. Rodriguez, T. G. Bivona, S. Warren, C. Aguado, M. Ito, A. Aguilar-Hernandez, M.A. Molina-Vila. R. Rosell. Digital multiplexed analysis of circular RNAs in FFPE and fresh non-small cell lung cancer specimens. Molecular Oncology 16:12 (2022) 2367-2383. doi: 10.1002/1878-0261.13182 PDF Icon
  • [2943] M.S. Santos, P.H. Abreu, A. Fernández, J. Luengo, J. Santos. The impact of heterogeneous distance functions on missing data imputation and classification performance. Engineering Applications of Artificial Intelligence, 111 (2022) 104791. doi: 10.1016/j.engappai.2022.104791 PDF Icon
  • [2944] A. Yazidi, M. Ivanovska, F.M. Zennaro, P.G. Lind, E. Herrera-Viedma. A new decision making model based on Rank Centrality for GDM with fuzzy preference relations. European Journal of Operational Research 297:3 (2022) 1030-1041. doi: 10.1016/j.ejor.2021.05.030
  • [2945] I. Bueno, R.A. Carrasco, R. Ureña, E. Herrera-Viedma. A business context aware decision-making approach for selecting the most appropriate sentiment analysis technique in e-marketing situations. Information Sciences 589 (2022) 300-320. doi: 10.1016/j.ins.2021.12.080
  • [2946] A. Yazidi, M.A. Pinto-Orellana, H. Hammer, P. Mirtaheri, E. Herrera-Viedma. Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics. IEEE Transactions on Cybernetics 52:1 (2022) 16-24. doi: 10.1109/TCYB.2019.2958627
  • [2953] X. Sun, S. Ge, X. Wang, H. Lu, E. Herrera-Viedma. A Bibliometric Analysis of IEEE T-ITS Literature Between 2010 and 2019. IEEE Transactions on Intelligent Transportation Systems, Volume 23, Issue: 10, Pages 17157-17166, 2022, Accepted.. doi: 10.1109/TITS.2022.3154098
  • [2955] M. Pérez-Pons, J. Parra-Dominguez, G. Hernández, E. Herrera-Viedma, J. Corchado. Evaluation metrics and dimensional reduction for binary classification algorithms: A case study on bankruptcy prediction. The Knowledge Engineering Review, 37, E1.. doi: 10.1017/S026988892100014X
  • [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 PDF Icon BibTex Icon
  • [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 PDF Icon BibTex Icon
  • [2959] M.S. Santos, P.H. Abreu, N. Japkowicz, A. Fernández, C. Soares, S. Wilk, J. Santos. On the joint-efect of class imbalance and overlap: a critical review. Artifcial Intelligence Review 55 (2022) 6207–6275. doi: 10.1007/s10462-022-10150-3 PDF Icon
  • [2961] A. Segura-Delgado, A. Anguita-Ruiz, R. Alcalá, J. Alcalá-Fdez. Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies. Expert Systems with Applications 193 (2022) 116411. doi: 10.1016/j.eswa.2021.116411 BibTex Icon
  • [2962] H. Liang, G. Kou, Y. Dong, F. Chiclana, E. Herrera-Viedma. Consensus Reaching with Minimum Cost of Informed Individuals and Time Constraints in Large-scale Group Decision Making. IEEE Transactions on Fuzzy Systems ( Volume: 30, Issue: 11, Pages: 4991 - 5004, November 2022). doi: 10.1109/TFUZZ.2022.3165373
  • [2969] Y. Xu, Z. Gong, G. Wei, W. Guo, E. Herrera-Viedma. Information consistent degree-based clustering method for large-scale group decision-making with linear uncertainty distributions information. Int. J. of Intelligent Systems, 2022 37:3394-3439. doi: 10.1002/int.22695
  • [2970] X. Zhang, J. Su, E. Herrera-Viedma. A decision support model for estimating participation-oriented designs of crowdsourcing platforms based on quality function deployment. Expert Systems with Applications, Volume 202, (2022). doi: 10.1016/j.eswa.2022.117308
  • [2971] J. Deng, J. Zhan, Z. Xu, E. Herrera-Viedma. Regret-theoretic multi-attribute decision-making model using three-way framework in multi-scale information systems. IEEE Transactions on Cybernetics, Accepted, 2022.. doi: 10.1109/TCYB.2022.3173374
  • [2972] A. Martinez-Sevilla, S. Alonso. AI and Mathematics Interaction for a New Learning Paradigm on Monumental Heritage. In: P.R. Richard, M.P. Vélez and S. Van Vaerenbergh (eds.): Mathematics Education in the Age of Artificial Intelligence. doi: 10.1007/978-3-030-86909-0_6
  • [2974] J. Marques Oliveira, B. Sicardy, ..., S. Alonso, et al.. Constraints on the structure and seasonal variations of Triton's atmosphere from the 5 October 2017 stellar occultation and previous observations. Astronomy and Astrophysics 659 (2022) A136. doi: 10.1051/0004-6361/202141443
  • [2976] J.R. Trillo, F.J. Cabrerizo, F. Chiclana, M.A. Martínez, F. Mata, E. Herrera-Viedma. Theorem verification of the quantifier-guided dominance degree with the mean operator for additive preference relations. Mathematics 2022, 10(12), 2035. doi: 10.3390/math10122035 PDF Icon
  • [2977] X. Chao, G. Kou, Y. Peng. A. Fernández. An Efficiency Curve for Evaluating Imbalanced Classifiers Considering Intrinsic Data Characteristics: Experimental Analysis. Information Sciences 608 (2022) 1131-1156. doi: 10.1016/j.ins.2022.06.045 PDF Icon
  • [2983] A. Martínez-Martínez, J.Gl Cegarra-Navarro, M.J. Cobo, T. de Valon. Impacts and Implications for Advancing in Environmental Knowledge in Hospitality Industry in COVID Society: a Bibliometric Analysis. Journal of the Knowledge Economy (2022). doi: 10.1007/s13132-022-00910-5
  • [2984] R. Heradio, D. Fernandez-Amoros, V. Ruiz, M.J. Cobo. A Rule-Learning Approach for Detecting Faults in Highly Configurable Software Systems from Uniform Random Samples. Proceeding of the 55th Hawaii International Conference on System Sciences (HICSS2022), January 3-7, 2022, Hawaii. doi: 10.24251/HICSS.2022.263
  • [2985] J. Padilla-Cabello, A. Santisteban-Espejo, R. Heradio, M.J. Cobo, M.A. Martin-Piedra, J.A. Moral-Muñoz. Methods for identifying biomedical translation: a systematic review. American Journal of Translational Research, 14:4, pp. 2697-2708 (2022).
  • [2986] A. Santisteban-Espejo, M.A. Martin-Piedra, A. Campos, J. Moran-Sanchez, M.J. Cobo, A.I. Pacheco-Serrano, J.A. Moral-Muñoz. Information and Scientific Impact of Advanced Therapies in the Age of Mass Media: Altmetrics-Based Analysis of Tissue Engineering. Journal of Medical Internet Research, 23:11, e25394 (2022). doi: 10.2196/25394
  • [2987] M.J. Cobo. Bibliometric and science mapping analysis: models, software tools and future challenges. 16th International Conference on Statistical Analysis of Textual Data (JADT2022), Naples (Italy), 6 - 8 July, 2022.
  • [2988] M. Zhou, Z.-X. Guan, Y.-W. Chen, Z.-P. Zhou, J. Wu, E. Herrera-Viedma. Consistency and consensus reaching process for group decision making based on complete interval distributed preference relations under social network analysis. Information Fusion, Volume 88, Pages 126-145, Accepted, 2022.. doi: 10.1016/j.inffus.2022.07.015
  • [2991] W. Wang, J. Zhan, E. Herrera-Viedma. A three-way decision approach with a probability dominance relation based on prospect theory for incomplete information systems. Information Sciences, Volume 611, September 2022, Pages 199-224. doi: 10.1016/j.ins.2022.08.065
  • [2993] A. Velez-Estevez, P. Garcia-Sanchez, J.A. Moral-Muñoz, M.J. Cobo. Why do papers from international collaborations get more citations? A bibliometric analysis of Library and Information Science papers. Scientometrics (2022). doi: 10.1007/s11192-022-04486-4
  • [2994] V. Duarte-Martínez, M.J. Cobo, A.G. López-Herrera. Uncovering patterns in the supervision of Spanish theses: a comprehensive analysis. Journal of Informetrics, 16:3, pp. 101319 (2022). doi: 10.1016/j.joi.2022.101319
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  • [2996] M. Bustos-Aibar, A. Anguita-Ruiz, A. Torres-Martos, J. Alcalá-Fdez, F.J. Ruiz-Ojeda, M. Reyes-Farias, A. Soria-Gondek, L. Herrero, D. Sánchez-Infantes, C.M. Aguilera. Gene Expression Profiles of Visceral and Subcutaneous Adipose Tissues in Children with Overweight or Obesity: The KIDADIPOSEQ Project. 9th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2022), Lecture Notes in Bioinformatics (LNBI) 13346, Gran Canaria (Spain), 42-46, June 27-30, 2022. doi: 10.1007/978-3-031-07704-3_4 BibTex Icon
  • [2998] C. Biedma-Rdguez, M.J. Gacto, A. Anguita-Ruiz, J. Alcalá-Fdez, R. Alcalá. Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension. International Journal of Fuzzy Systems 24 (2022) 3082–3103. doi: 10.1007/s40815-022-01324-w BibTex Icon
  • [2999] R. Abolghasemi, R. Khadka, P. G. Lind, P. Engelstad, E. Herrera-Viedma, A. Yazidi. Predicting missing pairwise preferences from similarity features in group decision making. Knowledge-Based Systems, Volume 256, Accepted, 2022. doi: 10.1016/j.knosys.2022.109860
  • [3001] W. Wang, J. Zhan, C. Zhang, E. Herrera-Viedma, G. Kou. A regret-theory-based three-way decision method with a priori probability tolerance dominance relation in fuzzy incomplete information systems. Information Fusion, Volume 89, January 2023, Pages 382-396, Accepted, 2022. doi: 10.1016/j.inffus.2022.08.027
  • [3002] Y. Du, D. Lio, J.A. Morente-Molinera, E. Herrera-Viedma. A data-driven method for user satisfaction evaluation of smart and connected products. Expert Systems with Applications, Volume 210. Accepted, 2022. doi: 10.1016/j.eswa.2022.118392
  • [3003] H. Zhang, S. Liu, Y. Dong, F. Chiclana, E. Herrera-Viedma. A minimum cost consensus-based failure mode and effect analysis framework considering experts’ limited compromise and tolerance behaviors. IEEE Transactions on Cybernetics, Accepted, 2022. doi: 10.1109/TCYB.2022.3212093
  • [3004] A. Seal, R. Bajpai, M. Karnati, J. Agnihotri, A. Yazidi, E. Herrera-Viedma, O. Krejcar. Benchmarks for Machine Learning in Depression Discrimination using Electroencephalography Signals. Applied Intelligence, Accepted, 2022. doi: 10.1007/s10489-022-04159-y
  • [3005] Q. Jia, J. Hu and E. Herrera-Viedma. A Novel Solution for Z-numbers Based on Complex Fuzzy Sets and Its Application in Decision-making System. IEEE Transactions on Fuzzy Systems, 30:10, (2022) pp. 4102-4114. doi: 10.1109/TFUZZ.2021.3138649
  • [3006] H. Hassani, R. Razavi-Far, M. Saif, E. Herrera-Viedma. Reinforcement Learning-Based Feedback and Weight-Adjustment Mechanisms for Consensus Reaching in Group Decision Making. IEEE Transactions on Systems, Man, and Cybernetics: Systems. doi: 10.1109/TSMC.2022.3214221
  • [3009] J.R. Trillo, I.J. Pérez, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo. Multi-granular large scale group decision-making method with a new consensus measure based on clustering of alternatives in modifiable scenarios. 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2022), Lecture Notes in Artificial Intelligence (LNAI) 13343, Kitakyushu (Japan), 747-758, July 19-22, 2022. doi: 10.1007/978-3-031-08530-7_63
  • [3010] F.J. Cabrerizo, J.C. González-Quesada, E. Herrera-Viedma, A. Kaklauskas, W. Pedrycz. Managing inconsistency with an optimal distribution of information granularity in fuzzy preference relations. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Prague (Czech Republic), 359-364, October 9-12, 2022.
  • [3011] F.J. Cabrerizo, J.C. González-Quesada, I.J. Pérez, M.J. Cobo, E. Herrera-Viedma. A web group decision support system based on granular computing. The 21st International Conference on Intelligent Software Methodologies, Tools, and Techniques (SOMET_22), Frontiers in Artificial Intelligence and Applications 355, IOS Press, Kitakyushu (Japan), 48-59, September 20-22, 2022. doi: 10.3233/FAIA220238
  • [3012] J.R. Trillo, E. Herrera-Viedma, M.J. Higueras-Ruiz, S. Alonso, J.A. Morente-Molinera, F.J. Cabrerizo. Challenges in fuzzy decision making for future research. The 21st International Conference on Intelligent Software Methodologies, Tools, and Techniques (SOMET_22), Frontiers in Artificial Intelligence and Applications 355, IOS Press, Kitakyushu (Japan), 374-384, September 20-22, 2022. doi: 10.3233/FAIA220267
  • [3013] J.R. Trillo, F.J. Cabrerizo, F. Chiclana, M.A. Martínez, E. Herrera-Viedma. Some trends in fuzzy decision making. 9th International Conference on Computers Communications and Control (ICCCC 2022), Advances in Intelligent Systems and Computing 1435, Oradea, Bihor (Romania) 320-332, May 16-20, 2022. doi: 10.1007/978-3-031-16684-6_28
  • [3015] I.J. Perez, F.J. Cabrerizo, J.A. Morente-Molinera, J.M. Tapia-García, M.J. del Moral, E. Herrera-Viedma. A new application for multi criteria decision making processes in e-government scenarios. 9th International Conference on Information Technology and Quantitative Management (ITQM 2022), Procedia Computer 214, Beijing & Zhangjiakou (China), 1090-1097, December 9-11, 2022. doi: 10.1016/j.procs.2022.11.282
  • [3016] I. Bueno, J. Velasco, R.A. Carrasco, E. Herrera-Viedma. A geospatial model of RFM analysis: An application to tourism in the Iberian Peninsula. 9th International Conference on Information Technology and Quantitative Management Online, December 9-11, 2022.
  • [3017] J.R. Trillo, E. Herrera-Viedma, M.J. Higueras-Ruiz, S. Alonso, J.A. Morente-Molinera, F.J. Cabrerizo. Large-scale group decision-making method based on knowledge differentiation and the grouping of alternatives into modifiable scenarios. 9th International Conference on Information Technology and Quantitative Management (ITQM 2022), Procedia Computer 214, Beijing & Zhangjiakou (China), 927-934, December 9-11, 2022. doi: 10.1016/j.procs.2022.11.261
  • [3022] Q.D. Nguyet, A. Selamat, O. Krejcar, E. Herrera-Viedma, H. Fujita. Deep Learning for Phishing Detection: Taxonomy, Current Challenges and Future Directions. IEEE Access, 2022, Volume 10, Pages 36429 – 36463. doi: 10.1109/ACCESS.2022.3151903
  • [3023] H. Hassani, R. Razavi-Far, M. Saif, E. Herrera-Viedma. Consensus-Based Decision Support Model and Fusion Architecture for Dynamic Decision Making. Information Sciences, Volume 597, Pages 86-104, 2022. doi: 10.1016/j.ins.2022.03.040
  • [3024] R. Abolghasemi, P. Engelstad, E. Herrera-Viedma, A. Yazidi. A Personality-Aware Group Recommendation System Based on Pairwise Preferences. Information Sciences, Volume 595, May 2022, Pages 1-17. doi: 10.1016/j.ins.2022.02.033
  • [3026] M.E. Perez-Pons, J. Parra-Dominguez, S. Omatu, E. Herrera-Viedma, J.M. Corchado. Machine Learning and Traditional Econometric Models: A Systematic Mapping Study. J of AI and Soft Computing Research, volumen 12, No. 2, pp. 79 – 100, (2022). doi: 10.2478/jaiscr-2022-0006
  • [3027] Z. Troya, R. Esteban, E. Herrera-Viedma, A. Peña-García. People’s perception of experimental installations for sustainable energy: the case of IFMIF-DONES. Sustainability 2022, 14(2), 899. doi: 10.3390/su14020899
  • [3029] A. Martínez-Sevilla, S. Alonso. 3D printing and laser cutting of architectural heritage and its use in mathematics education. 2022 CADGME Conference: Digital Tools in Mathematics Education, Jerusalem, September 12-13, 2022..
  • [3034] F.J. Cabrerizo, J.C. González-Quesada, J.A. Morente-Molinera, I.J. Pérez, E. Herrera-Viedma, W. Pedrycz. An improvement of consensus in group decision-making through an optimal distribution of information granularity. 2022 IEEE SSCI - Symposium on Computational Intelligence in Multicriteria Decision-Making (SSCI 2022), Singapur, 119-124, December 4-7, 2022.
  • [3035] J.R. Trillo, F.J. Cabrerizo, I.J. Pérez, J.A. Morente-Molinera, S. Alonso, E. Herrera-Viedma. A large-scale group decision-making method based on sentiment analysis for the detection of cooperative group. 2022 IEEE SSCI - Symposium on Computational Intelligence in Multicriteria Decision-Making (SSCI 2022), Singapur, 148-155, December 4-7, 2022.
  • [3037] J.R. Trillo, F.J. Cabrerizo, J.A. Morente-Molinera, E. Herrera-Viedma, S. Zadrozny, J. Kacprzyk. Large-scale group decision-making method based on trust clustering among experts. 2022 IEEE 11th International Conference on Intelligent Systems (IS), Warsaw (Poland), 1-8, October 12-14, 2022. doi: 10.1109/IS57118.2022.10019687
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  • [3046] F. Aghaeipoor, A. Fernandez.. IFC-BD: An Interpretable Fuzzy Classifier for Boosting Explainable Artificial Intelligence in Big Data (keywork). XXI Congreso Español sobre Tecnologías y Lógica Fuzzy. ESTYLF 2022, Toledo (Spain), 101-102, Sept. 5-7, 2022.
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2021 (80)

  • [2884] W. Guo, Z. Gong, E. Herrera-Viedma, Q. Li. Priority weights acquisition of linear uncertain preference relations and its application in the ranking of online shopping platforms. ASOC, 105 (2021) 107292..
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2020 (93)

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  • [2960] A. Anguita-Ruiz, E.M. González-Gil, A.I. Rupérez, F.J. Llorente-Cantarero, B. Pastor-Villaescusa, J. Alcalá-Fdez, L.A. Moreno, Á. Gil, M. Gil-Campos, G. Bueno, R. Leis, C.M. Aguilera. Evaluation of the Predictive Ability, Environmental Regulation and Pharmacogenetics Utility of a BMI-Predisposing Genetic Risk Score during Childhood and Puberty. Journal of Clinical Medicine 9:6 (2020) 1705. doi: 10.3390/jcm9061705 BibTex Icon
  • [3028] M.F. Khan, D. Goyal, M.M. Nofal, E. Khan, R. Al-Hmouz, E. Herrera-Viedma. Fuzzy-based Histogram Partitioning for Bi-Histogram Equalisation of Low Contrast Images. IEEE Access (Volume: 8) Pages: 11595 – 11614. doi: 10.1109/ACCESS.2020.2965174
  • [3082] G. González-Almagro, J. Luengo, J. R. Cano, S. García. DILS: Constrained clustering through dual iterative local search. Computers & Operations Research 121: 104979 (2020). doi: 10.1016/j.cor.2020.104979
  • [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
  • [3085] G. González-Almagro, A. Rosales-Pérez, J. Luengo, J.R. Cano, S. García. Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism. GECCO 2020: 333-341. doi: 10.1145/3377930.3390187
  • [3086] G. González-Almagro, J.-L. Suárez, J. Luengo, J.R. Cano, S. García. Agglomerative Constrained Clustering Through Similarity and Distance Recalculation. HAIS 2020: 424-436. doi: 10.1007/978-3-030-61705-9_35
  • [3087] J.R. Cano, J. Luengo, S. García. Similarity-based and Iterative Label Noise Filters for Monotonic Classification. HICSS 2020: 1-9.
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2019 (113)

  • [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 PDF Icon BibTex Icon
  • [2391] E.A. Callejas, J.A. Cerrada, C. Cerrada, F.J. Cabrerizo. Group decision making based on a framework of granular computing for multi-criteria and linguistic contexts. IEEE Access 7 (2019) 54670-54681. doi: 10.1109/ACCESS.2019.2913338
  • [2439] B. Farhadinia, E. Herrera-Viedma. Sorting of decision making methods based on their outcomes using dominance-vector hesitant fuzzy based distance. Soft Computing, 2019, Vol. 23, Issue 4, pp 1109–1121..
  • [2447] J.M. Merigó, M.J. Cobo, S. Laengle, D. Rivas, E. Herrera-Viedma. Twenty years of Soft Computing: A bibliometric overview. Soft Computing, 23:5 pp 1477–1497 (2019). doi: 10.1007/s00500-018-3168-z
  • [2669] Y. Dong, W. Liu, F. Chiclana, G. Kou, E. Herrera-Viedma. Are incomplete and self-confident preference relations better in multicriteria decision making? A simulation-based investigation.. Information Sciences, 492, 2019, 40-57..
  • [2477] M. R. Ureña, F. Chiclana, G. Melancon, E. Herrera-Viedma. A social network based approach for consensus achievement in multiperson decision making. Information Fusion, 47 (2019) 72-87..
  • [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 PDF Icon BibTex Icon
  • [2488] Z. Zhaoa, X. Zhang, C. Li, F. Chiclana, E. Herrera-Viedma. An Incremental Method to Detect Communities in Dynamic Evolving Social Networks. Knowledge-Based Systems, 163 (2019) 404–415.
  • [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 PDF Icon BibTex Icon
  • [2499] B. Farhadinia, F.J. Cabrerizo, E. Herrera-Viedma. Horizontal representation of a hesitant fuzzy set and its application to multiple attribute decision making. Iranian Journal of Fuzzy Systems 16:5 (2019) 1-13. doi: 10.22111/ijfs.2019.4900
  • [2503] Y. Liu, Y. Dong, H.Liang, F. Chiclana, E. Herrera-Viedma. Multiple attribute strategic weight manipulation with minimum cost in a group decision making context with interval attribute weights information. IEEE Trans. Syst. Man and Cyb: Systems, (49):10 (2019) ,pp. 1981-1992..
  • [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
  • [2512] J.A. Morente-Molinera, G. Kou, C. Pang, F.J. Cabrerizo, E. Herrera-Viedma. An automatic procedure to create fuzzy ontologies from users' opinions using sentiment analysis procedures and multi-granular fuzzy linguistic modelling methods. Information Sciences 476 (2019) 222-238. doi: 10.1016/j.ins.2018.10.022
  • [2513] R. Ureña, G. Kou, Y. Dong, F. Chiclana, E. Herrera-Viedma. A review on trust propagation and opinion dynamics in social networks and group decision making frameworks. Information Sciences, Volume 478, (2019) 461-475.
  • [2516] N. Capuano, F. Chiclana, E. Herrera-Viedma, H. Fujita, V. Loia. Fuzzy Group Decision Making for Influence-Aware Recommendations. Computers in Human Behavior, Volume 101, December 2019, Pages 371-379.. doi: 10.1016/j.chb.2018.11.001
  • [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
  • [2526] X. Mao, X. Zhao, J. Lin, E. Herrera-Viedma. Utilizing multi-source data in popularity prediction for shop-type recommendation. Knowledge-Based Systems, Volume 165, 1 February 2019, Pages 253-267. doi: 10.1016/j.knosys.2018.11.033
  • [2534] J.A. Morente-Molinera, G. Kou, K. Samuylov, R. Ureña, E. Herrera-Viedma. Carrying out consensual Group Decision Making processes under social networks using sentiment analysis over comparative expressions. Knowledge-Based Systems, 165, 335-345. doi: 10.1016/j.knosys.2018.12.006
  • [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
  • [2555] B. Zhang, Y. Dong,E. Herrera-Viedma. Group decision making with heterogeneous preference structures: An automatic mechanism to support consensus reaching. Group Decision & Negotiation, 28:3, 585-617, 2019..
  • [2556] F.M.A. Alias, L. Abdullah, H. Liao, E. Herrera-Viedma. Consistent Fuzzy Preference Relation with Geometric Bonferroni Mean: A Fused Preference Method for Assessing the Quality of Life. Applied Intelligence 49 (2019) 2672–2683. doi: 10.1007/s10489-019-01415-6
  • [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
  • [2561] R. Urena, G. Kou, J. Wu, F. Chiclana, E. Herrera-Viedma. Dealing with Incomplete Information in Linguistic Group Decision Making by Means of Interval Type 2 Fuzzy Sets. Int. J. of Intelligent Systems, 2019;34:1261-1280..
  • [2562] J.R. López-Robles, J.R. Otegi-Olaso, I. Porto-Gómez, M.J. Cobo. 30 Years of Intelligence Models in Management and Business: A Bibliometric Review. International Journal of Information Management, 48, pp 22-38 (2019). doi: 10.1016/j.ijinfomgt.2019.01.013
  • [2563] J.A. Moral-Muñoz, A.G. López-Herrera, E. Herrera-Viedma, M.J. Cobo. Science mapping analysis software tools: a review. In: W. Glaenzel, H.F. Moed, U. Schmoch, M. Thelwall (eds.): Springer Handbook of Science and Technology Indicators, Springer International Publishing, 2019. ISBN 978-3-030-02510-6. doi: 10.1007/978-3-030-02511-3_7
  • [2564] L. Ruiz-González, D. Lucena-Antón, A. Salazar, R. Martín-Valero, J.A. Moral-Muñoz. Physical Therapy in Down Syndrome: Systematic review and Meta-analysis. Journal of Intellectual Disability Research.
  • [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 PDF Icon BibTex Icon
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  • [2729] F.J. Cabrerizo, J.A. Morente-Molinera, S. Alonso, R. Ureña, E. Herrera-Viedma. Personalized linguistic information: A framework of granular computing. Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), Atlantis Studies in Uncertainty Modelling 1, Prague (Czech Republic), 297-304, September 9-13, 2019. doi: 10.2991/eusflat-19.2019.43
  • [2730] Q. Zha, Y. Dong, H. Zhang, F Chiclana, E Herrera-Viedma. A Personalized Feedback Mechanism Based on Bounded Confidence Learning to Support Consensus Reaching in Group Decision Making. IEEE Trans. Syst. Man and Cyb: Systems, 51:6 (2019) 3900 - 3910. doi: 10.1109/TSMC.2019.2945922
  • [2732] J.A. Morente-Molinera, F.J. Cabrerizo, I.J. Perez, S. Alonso, E. Herrera-Viedma. Extracting group decision making experts' preferences from debate transcriptions using sentiment analysis. Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), Atlantis Studies in Uncertainty Modelling 1, Prague (Czech Republic), 22-29, September 9-13, 2019. doi: 10.2991/eusflat-19.2019.4
  • [2733] F.J. Cabrerizo, M.A. Martínez, J. López-Gijón, J. Cascón-Katchadourian, E. Herrera-Viedma. Group decision making and soft consensus: Analyzing citation classics by means of H-Classics. 7th International Conference on Information Technology and Quantitative Management (ITQM 2019), Procedia Computer Science 162, Granada (Spain), 251-259, November 3-6, 2019. doi: 10.1016/j.procs.2019.11.282 PDF Icon
  • [2734] R. Heradio, D. Fernández-Amorós, D. Galán, F.J. Cabrerizo, E. Herrera-Viedma. Looking over the research literature on software engineering from 2016 to 2018. 7th International Conference on Information Technology and Quantitative Management (ITQM 2019), Procedia Computer Science 162, Granada (Spain), 712-719, November 3-6, 2019. doi: 10.1016/j.procs.2019.12.042 PDF Icon
  • [2737] A. Tejeda-Lorente, J. Bernabé-Moreno, J. Herce-Zelaya, C. Porcel, E. Herrera-Viedma. A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds. 7th International Conference on Information Technology and Quantitative Management (ITQM 2019), Procedia Computer Science 162, Granada (Spain), 916-923, November 3-6, 2019. doi: 10.1016/j.procs.2019.12.068
  • [2738] J. Bernabé-Moreno, A. Tejeda-Lorente, J. Herce-Zelaya, C. Porcel, E. Herrera-Viedma. An automatic skills standardization method based on subject expert knowledge extraction and semantic matching. 7th International Conference on Information Technology and Quantitative Management (ITQM 2019), Procedia Computer Science 162, Granada (Spain), 857-864, November 3-6, 2019. doi: 10.1016/j.procs.2019.12.060
  • [2739] J. Herce-Zelaya, C. Porcel, J. Bernabé-Moreno, A. Tejeda-Lorente, E. Herrera-Viedma. Web platform for learning distributed databases’ queries processing. 7th International Conference on Information Technology and Quantitative Management (ITQM 2019), Procedia Computer Science 162, Granada (Spain), 827-834, November 3-6, 2019. doi: 10.1016/j.procs.2019.12.056
  • [2741] J. Bernabé-Moreno, K. Wildberger. A fuzzy linguistic supported framework to increase Artificial Intelligence intelligibility for subject matter experts. 7th International Conference on Information Technology and Quantitative Management (ITQM 2019), Procedia Computer Science 162, Granada (Spain), 865-872, November 3-6, 2019. doi: 10.1016/j.procs.2019.12.061
  • [2746] I. A. Rodriguez, R. Ureña, E. Herrera-Viedma. Fuzzy clustering approach for brain tumor tissue segmentation in magnetic resonance images. Soft Computing. 2019, 23:20, pp 10105–10117..
  • [2747] F. M. Anira-Alias, L. Abdullah, H. Liao, E. Herrera-Viedma. Consistent Fuzzy Preference Relation with Geometric Bonferroni Mean: A Fused Preference Method for Assessing the Quality of Life. Applied Intelligence, 2019, 49:7, pp 2672–2683..
  • [2754] L. Herrera, E. Crisol, R. Montes. A MOOC on universal design for learning designed under the UDL paradigm. Australasian Journal of Educational Technology 35:6 (2019) 30–47. doi: 10.14742/ajet.5532
  • [2782] N. Xue, D. Landa-Silva, GP. Figueredo, I. Triguero. A simulation-based optimisation approach for inventory management of highly perishable food. 8th International Conference on Operations Research and Enterprise Systems (ICORES 2019).
  • [2783] W. Ding, GG. Yen, G. Beliakov, I. Triguero, M. Pratama, X. Zhang, H Li. IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing. IEEE Access 7, 47682-47686.
  • [2784] JS. Angarita-Zapata, AD. Masegosa, I. Triguero. A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective. IEEE Access 7, 68185-68205.
  • [2785] H. Song, I. Triguero, E. Özcan. A review on the self and dual interactions between machine learning and optimisation. Progress in Artificial Intelligence 8 (2), 143-165.
  • [2786] N. Xue, I. Triguero, GP. Figueredo, D. Landa-Silva. Evolving Deep CNN-LSTMs for Inventory Time Series Prediction. 2019 IEEE Congress on Evolutionary Computation (CEC), 1517-1524.
  • [2787] M. Aboufoul, A. Chiarelli, I. Triguero, A. Garcia. Virtual porous materials to predict the air void topology and hydraulic conductivity of asphalt roads. Powder Technology 352, 294-304.
  • [2788] R. Tickle, I. Triguero, GP. Figueredo, M. Mesgarpour, RI. John. Fuzzy Hot Spot Identification for Big Data: An Initial Approach. 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6.
  • [2789] M. Jiménez, MT. Torres, R. John, I. Triguero. A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification. 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6.
  • [2791] T. Wei, J. Zhou, R. Ranjan, I. Triguero, H. Yu, CJ. Xue, S. Dustdar. Introduction to the Special Issue on Human-interaction-aware Data Analytics for Cyber-physical Systems. ACM Transactions on Cyber-Physical Systems 3 (4), 1-2.
  • [2792] M. Canizo, I. Triguero, A. Conde, E. Onieva. Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study. Neurocomputing 363, 246-260.
  • [2817] J. Cascón-Katchadourian, A.G. López-Herrera, A.A. Ruíz-Rodríguez, E. Herrera-Viedma. Proyecto Histocarto, aplicación de SIGs (georreferenciación y geolocalización) para mejorar la recuperación de la documentación histórica gráfica. El profesional de la información 28:4 (2019) e280416.. doi: 10.3145/epi.2019.jul.16 PDF Icon
  • [2818] J. Cascón-Katchadourian, A.A. Ruíz-Rodríguez, E. Herrera-Viedma. Definición, legislación y normativa para el tratamiento de los documentos históricos generados en la Administración Pública española y andaluza. Revista Española de Documentación Científica 42:4 (2019) e249.. doi: 10.3989/redc.2019.4.1653 PDF Icon
  • [2820] J. Cascón-Katchadourian, P. Lázaro-Rodríguez. Proyecto Histocarto, geoportal para viajar por la historia de Granada. Textos de innovación investigadora universitaria, Pirámide (Grupo Anaya), 2019. ISBN 978-84-368-4270-8.
  • [2821] P. Lázaro-Rodríguez, J. Cascón-Katchadourian. Bibliotecas universitarias y cultura digital: breve análisis bibliométrico de la producción científica en la Web of Science. Alfabetizando digitalmente para la nueva docencia, PIRÁMIDE (GRUPO ANAYA), 2019. ISBN 978-84-368-4262-3.
  • [2824] J. Cascón-Katchadourian. Proyecto Histocarto: viaje en el tiempo a través de la cartografía y de la fotografía antigua: Aplicación de herramientas SIG (georreferenciación y geolocalización) para mejorar la recuperación de la documentación histórica gráfica. Seventeenth International Conference on New Directions in the Humanities at the University of Granada, Granada (España), Julio 3-5, 2019.
  • [2825] J. Cascón-Katchadourian. Histocarto, una web para viajar por la historia de Granada. IV Congreso ISKO España-Portugal (XIV Congreso ISKO España), Barcelona (Spain), Julio 11-12, 2019.
  • [2826] J. Cascón-Katchadourian, P. Lázaro-Rodríguez. PROYECTO HISTOCARTO, GEOPORTAL PARA VIAJAR POR LA HISTORIA DE GRANADA. Congreso Universitario Internacional sobre la comunicación en la profesión y en la Universidad de hoy: Contenidos, Investigación, Innovación y Docencia, Granada (Spain), Octubre 23-24, 2019.
  • [2827] P. Lázaro-Rodríguez, J. Cascón-Katchadourian. BIBLIOTECAS UNIVERSITARIAS Y CULTURA DIGITAL: BREVE ANÁLISIS BIBLIOMÉTRICO DE LA PRODUCCIÓN CIENTÍFICA EN LA WEB OF SCIENCE. Congreso Universitario Internacional sobre la comunicación en la profesión y en la Universidad de hoy: Contenidos, Investigación, Innovación y Docencia, Granada (Spain), Octubre 23-24, 2019.
  • [2837] R. A. Carrasco, M. F. Blasco, J. García-Madariaga, E. Herrera-Viedma. A Fuzzy Linguistic RFM Model Applied to Campaign Management. International Journal of Interactive Multimedia and Artificial Intelligence 5:4 (2019) pp. 21-27.
  • [2973] E. Meza, B. Sicardy, ..., S. Alonso, et al.. Lower atmosphere and pressure evolution on Pluto from ground-based stellar occultations, 1988–2016. Astronomy and Astrophysics 629 (2019) A42. doi: 10.1051/0004-6361/201834281
  • [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 (185)

  • [2019] K. Trawinski, M. Chica, D.P. Pancho, S. Damas, O. Cordón. moGrams: a network-based methodology for visualizing the set of non-dominated solutions in multiobjective optimization. IEEE Transactions on Cybernetics 48:2 (2018) 474-485. doi: 10.1109/TCYB.2016.2642886
  • [2030] K. Srikantha, L.K. Panwar, B.K. Panigrahi, E. Herrera-Viedma, A.K. Sangaiah, G.-G. Wang. Meta-heuristic framework: Quantum inspired binary grey wolf optimizer for unit commitment problem. Computer & Electrical Engineering Volume 70, August 2018, Pages 243-260.. doi: 10.1016/j.compeleceng.2017.07.023
  • [2402] J. Albadán-Romero, P. Gaona-García, G. Rolong-Agudelo, C. Montenegro-Marin, R. Gonzalez-Crespo, E. Herrera-Viedma. Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification. Informatica 29:1 (2018) 1-20. doi: 10.15388/Informatica.2018.155
  • [2129] Y. Dong, Y. Liu, H. Liang, F. Chiclana, E. Herrera-Viedma. Strategic weight manipulation in multiple attribute decision making. Omega: The International Journal of Management Science 75 (2018) 154–164. doi: 10.1016/j.omega.2017.02.008
  • [2136] O. Taylan , M.R. Kabli, C. Porcel, E. Herrera-Viedma. Using consensus tools and fuzzy linguistic modelling for constructor selection. Int. J. of Fuzzy Systems, 2018, Vol. 20, Issue 4, pp 1267–1281..
  • [2142] X. Tian, Z. Xu, J. Gu, E. Herrera-Viedma. How to select a promising enterprise for venture capitalists with prospect theory under intuitionistic fuzzy circumstance?. Applied Soft Computing, 67 (2018) 756-763.. doi: 10.1016/j.asoc.2017.04.027
  • [2148] J. Bernabé-Moreno, A. Tejeda-Lorente, C. Porcel, E. Herrera-Viedma. Leveraging localized social media insights for early warning systems. International Journal of Information Technology and Decision Making (IJITDM) 17:1 (2018) 357-385. doi: 10.1142/S0219622017400016 BibTex Icon
  • [2434] R. Hernández-Linares, S. Sarkar, M.J. Cobo. Inspecting an Achilles heel: A quantitative analysis of fifty years of attempts to define family business. Scientometrics, 115:2 (2018) 929–951. doi: 10.1007/s11192-018-2702-1
  • [2210] C. Campomanes-Álvarez, O. Ibáñez, O. Cordón, C. Wilkinson. A Fuzzy Hierarchical Decision Support Framework for Craniofacial Superimposition. Information Fusion 39 (2018) 25–40. doi: 10.1016/j.inffus.2017.03.004
  • [2279] F.J. Baldán, S.Ramirez-Gallego, C.Bergmeir, F.Herrera, J.M.Benitez-Sanchez. A Forecasting Methodology for Workload Forecasting in Cloud Systems. IEEE Transactions on Cloud Computing 6:4 (2018) 929-941. doi: 10.1109/TCC.2016.2586064 BibTex Icon
    COMPLEMENTARY MATERIAL to the paper

  • [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
  • [2300] F. Chiclana, F. Mata, L.G. Pérez, E. Herrera-Viedma. Type-1 OWA unbalanced fuzzy linguistic aggregation methodology. Application to eurobonds credit risk evaluation. Int. J. of Intelligent Syst. 33:5, 2018, 1071-1088..
  • [2408] J. Montero, M.J. Cobo, M. Gutiérrez-Salcedo, F. Segado and E. Herrera-Viedma. A Science Mapping Analysis of Communication WoS Subject Category (1980-2013). Comunicar, 55:16 (2018) 81-91. doi: 10.3916/C55-2018-08
  • [2309] M. Gonzalez, C. Bergmeir, I. Triguero, Y. Rodriguez, J.M. Benitez. Self-labeling techniques for semi-supervised time series classification: an empirical study. Knowledge and Information Systems, 55 (2), 493-528. doi: 10.1007/s10115-017-1090-9 PDF Icon
  • [2314] N. Capuano, F. Chiclana, H. Fujita, E. Herrera-Viedma, V. Loia. Fuzzy group decision making with incomplete information guided by social influence. EEE Trans. On Fuzzy Systems 26(3) (2018) 1704-1718.. doi: 10.1109/TFUZZ.2017.2744605
  • [2315] B. Farhadinia, E. Herrera-Viedma. Entropy measures for extended hesitant fuzzy linguistic term sets using the concept of interval-transformed hesitant fuzzy elements. Int. J. of Fuzzy Systems, 2018. Volume 20, Issue 7, pp 2122–2134. Doi: 10.1007/s40815-017-0379-x.
  • [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 BibTex Icon
  • [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 BibTex Icon
  • [2320] J. Wu, F. Chiclana, H. Fujita, E. Herrera-Viedma. A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust. Information Fusion, 41 (2018) 232-242. doi: 10.1016/j.inffus.2017.09.012
  • [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 PDF Icon BibTex Icon
  • [2331] M. Gutiérrez-Salcedo, M.A. Martínez, J.A. Moral-Muñoz, E. Herrera-Viedma, M.J. Cobo. Some bibliometric procedures for analyzing and evaluating research fields. Applied Intelligence, 48:5 (2018) 1275–1287.. doi: 10.1007/s10489-017-1105-y
  • [2332] F.J. Cabrerizo, F. Chiclana, I.J. Pérez, F. Mata, S. Alonso, E. Herrera-Viedma. A feedback mechanism based on granular computing to improve consensus in GDM. In: M. Collan, J. Kacprzyk (eds.): Soft Computing Applications for Group Decision-making and Consensus Modeling, Studies in Fuzziness and Soft Computing 357, Springer, 2018, 371-390. ISBN: 978-3-319-60206-6. doi: 10.1007/978-3-319-60207-3_22
  • [2337] R.A. Carrasco-González, M.F. Blasco, J. García-Madariaga, A. Pedreño-Santos, E. Herrera-Viedma. A model to obtain a SERVPERF scale evaluation of the CRM customer complaints: An application to the 4G telecommunications sector. Technological and Economic Development of Economy, 2018 Vol. 24 Issue 4: 1606–1629.. doi: 10.3846/tede.2018.5080
  • [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 PDF Icon BibTex Icon
  • [2339] R. Rekik, I. Kallel, J. Casillas, A.M. Alimi. Assessing web sites quality: a systematic literature review by text and association rules mining. International Journal of Information Management 38:1 (2018) 201-216. doi: 10.1016/j.ijinfomgt.2017.06.007
    PDF

  • [2344] R. Romero-Zaliz, JF Reinoso-Gordo. An Updated Review on Watershed Algorithms. In: Cruz Corona C. (eds) Soft Computing for Sustainability Science. Studies in Fuzziness and Soft Computing, vol 358. Springer, Cham. ISBN 978-3-319-62358-0. doi: 10.1007/978-3-319-62359-7_12 PDF Icon
  • [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 PDF Icon
  • [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
  • [2378] W. Wang, S. Laengle, J.M. Merigó, D. Yu, E. Herrera-Viedma, M.J. Cobo, B. Bouchon-Meunier. A bibliometric analysis of the first twenty-five years of the International Journal of Uncertainty, Fuzziness and Knowledge-based Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 26, No. 2 (2018) 169–193. doi: 10.1142/S0218488518500095
  • [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

  • [2385] M.J. del Moral, F. Chiclana, J.M. Tapia, E. Herrera-Viedma. A Comparative Study on Consensus Measures in Group Decision Making. Int. J. of Intelligent Systems, 33(8), 1624-1638, 2018.. doi: https://doi.org/10.1002/int.21954
  • [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
  • [2403] M. J. Del Moral, J. M. Tapia Garcia, F. Chiclana, A. Al-Hmouz, E. Herrera-Viedma. An analysis of consensus approaches based on different concepts of coincidence. J. of Intelligent and Fuzzy Systems, 34 (2018) 2247–2259. doi: 10.3233/jifs-171282
  • [2406] M. V. Ciasullo, G. Fenza, V. Loia, F. Orciuoli, O. Troisi, E. Herrera-Viedma. Business Process Outsourcing Enhanced by Fuzzy Linguistic Consensus Model. Applied Soft Computing, 2018, 64 (2018) 436–444. doi: 10.1016/j.asoc.2017.12.020
  • [2409] C. Koulamas, A.P. Kalogeras, R. Pacheco-Torres, J. Casillas, L. Ferrarini. Suitability analysis of modeling and assessment approaches in energy efficiency in buildings. Energy and Buildings 158 (2018) 1662-1682. doi: 10.1016/j.enbuild.2017.12.002 PDF Icon
  • [2410] E. Ruiz, J. Casillas. Adaptive fuzzy partitions for evolving association rules in big data stream. International Journal of Approximate Reasoning 93 (2018) 463-486. doi: 10.1016/j.ijar.2017.11.014
  • [2411] M.P. Rodríguez Bolivar, L. Alcaide Muñoz, M.J. Cobo. Analyzing the scientific evolution and impact of e-participation research in JCR journals using science mapping. International Journal of Information Management, 40 (2018) 111-119, 2018. doi: 10.1016/j.ijinfomgt.2017.12.011
  • [2412] A. Kaklauskas, E. Herrera-Viedma, E. K. Zavadskas, I. Ubarte, V. Echenique, A. Kuzminske, A. Binkyte. Multiple criteria analysis of environmental sustainability and quality of life in post-Soviet states. Ecological Indicators, 89 (2018) 781-807.. doi: 10.1016/j.ecolind.2017.12.070
  • [2414] F.J. Cabrerizo, J.A. Morente-Molinera, W. Pedrycz, A. Taghavi, E. Herrera-Viedma. Granulating linguistic information in decision making under consensus and consistency. Expert Systems With Applications 99 (2018) 83-92. doi: 10.1016/j.eswa.2018.01.030
  • [2422] R. Alcalá, M.J. Gacto, J. Alcalá-Fdez. Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007-2017). Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery 8:2 (2018) 1-17. doi: 10.1002/widm.1239 BibTex Icon
  • [2425] J. Bernabé-Moreno, A. Tejeda-Lorente, C. Porcel, H. Fujita, E. Herrera-Viedma. Quantifying the emotional impact of events on locations with Social Media. Knowledge-based Systems, 146, (2018), 44-57. doi: 10.1016/j.knosys.2018.01.029 BibTex Icon
  • [2427] A. Cid-López, Miguel J. Hornos, R. A. Carrasco-González, E. Herrera-Viedma. Prioritization of the launch of ict products and services through linguistic multi-criteria decision-making. Technological and Economic Development of Economy, 2018 Volume 24 Issue 3: 1231–1257. doi: 10.3846/tede.2018.1423
  • [2428] P. Lázaro-Rodríguez, J. López-Gijón, S. Alonso, M. J. Martínez-Sánchez, E. Herrera-Viedma. Secaba-Rank: una herramienta online para analizar y evaluar las bibliotecas. El profesional de la información, v. 27, n. 2, pp. 278-288. doi: doi.org/10.3145/epi.2018.mar.06
  • [2429] P. Lázaro-Rodríguez, J. López-Gijón, E. Herrera-Viedma. Visibilidad de las bibliotecas públicas y la lectura en medios de comunicación españoles frente a otros hechos de la cultura y relación con su uso: medidas para su mayor promoción y difusión.. BiD: textos universitaris de biblioteconomia i documentació, n. 40 (junio)..
  • [2430] P. Lázaro-Rodríguez, P. Vakkari. Modelizando el uso de las bibliotecas públicas a través de sus características: estudio comparativo entre España y Finlandia para los préstamos y las visitas. Revista Española de Documentación Científica, 41 (4): e216. doi: 10.3989/redc.2018.4.1544
  • [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 PDF Icon BibTex Icon
  • [2435] J.A. Moral-Muñoz, M. Arroyo-Morales, E. Herrera-Viedma, M.J. Cobo. An Overview of Thematic Evolution of Physical Therapy Research Area from 1951 to 2013. Frontiers in Research Metrics and Analytics, 3:13 (2018). doi: 10.3389/frma.2018.00013
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  • [2443] D. Lucena-Antón, I. Rosety-Rodríguez, J.A. Moral-Muñoz. Effects of a Hippotherapy Intervention on Muscle Spasticity in Children with Cerebral Palsy: A Randomized Controlled Trial. Complementary Therapies in Clinical Practice 31 (2018) 188-192. doi: 10.1016/j.ctcp.2018.02.013
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  • [2446] Y. Xu, Q. Wang, F.J. Cabrerizo, E. Herrera-Viedma. Methods to improve the ordinal and multiplicative consistency for fuzzy reciprocal preference relations. Applied Soft Computing 67 (2018) 479-493. doi: 10.1016/j.asoc.2018.03.034
  • [2448] J.A. Morente-Molinera, G. Kou, I.J. Pérez, K. Samuylov, A. Selamat, E. Herrera-Viedma. A group decision making support system for the Web: how to work in environments with a high number of participants and alternatives. Applied Soft Computing, 68 (2018) 191-201. doi: 10.1016/j.asoc.2018.03.047
  • [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 PDF Icon BibTex Icon
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  • [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 BibTex Icon
  • [2598] A. Sánchez-Fernández, F.J. Baldán, G. I. Sainz-Palmero, J. M. Benítez, M. J. Fuente. Fault detection based on time series modeling and multivariate statistical process control. Chemometrics and Intelligent Laboratory Systems 182 (2018) 57-69. doi: 10.1016/j.chemolab.2018.08.003 BibTex Icon
  • [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.
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    Advisor: O. Cordón, M. Chica
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    Advisor: F. Herrera, S. García
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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
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  • [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
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  • [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
  • [2649] F. Charte, A. J Rivera, D. Charte, M. J. del Jesus, F Herrera. Tips, guidelines and tools for managing multi-label datasets: the MLDR. datasets R package and the Cometa data repository. Neurocomputing, 289 (2018) 68-85. doi: 10.1016/j.neucom.2018.02.011
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  • [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
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  • [2664] F.J. Arcos, JM. Soto-Hidalgo, A. Vitiello, G. Acampora, J. Alcalá-Fdez. Interoperability for Embedded Systems in JFML Software: An Arduino-based implementation. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), Rio de Janeiro (Brazil), 1-8, July 8-13, 2018. BibTex Icon
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  • [2814] J. Cascón-Katchadourian, A.A. Ruíz-Rodríguez, J. Alberich. Uses and applications of georeferencing and geolocation in old cartographic and photographic document management. El profesional de la información 27:1 (2018) 202-212. doi: 10.3145/epi.2018.ene.19 PDF Icon
  • [2815] J. Cascón-Katchadourian, A.A. Ruíz-Rodríguez, J. Alberich. Revisión, análisis y evaluación de sistemas para la gestión de activos multimedia en organizaciones. Revista Española de Documentación Científica 41:1 (2018) e196. doi: 10.3989/redc.2018.1.1481 PDF Icon
  • [2816] J. Cascón-Katchadourian, A.A. Ruíz-Rodríguez, A. Quesada-Román. Georreferenciación y publicación web de cartografía antigua en sistemas de información geográficos: requisitos para su evaluación y estudio de caso. Revista General de Información y Documentación 28:1 (2018) 193-212. doi: 10.5209/RGID.60810 PDF Icon
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    Advisor: A.A. Ruíz-Rodríguez, E. Herrera-Viedma
  • [2823] J. Cascón-Katchadourian. Granada: Viaje en el tiempo a través de su documentación histórica. I Congreso Nacional de Investigadores en Formación: Fomentando la interdisciplinaridad (JIFFI), Granada (Spain), Junio 20-22, 2018.
  • [2831] C. Porcel, A. Ching-López, A. Tejeda-Lorente, J. Bernabé-Moreno, F.J. Cabrerizo, E. Herrera-Viedma, S. Alonso. Análisis de distintas propuestas de sistemas de recomendaciones lingüísticos difusos para personalizar información en bibliotecas digitales. XVIII Conferencia de la Asociacion Española para la Inteligencia Artificial (CAEPIA-2018), Granada (Spain), 365-366, 23-26 October 2018.


2017 (131)

  • [2105] F. J. Rodriguez , F. Glover, C. García-Martínez, R. Martí, M. Lozano. GRASP with exterior path-relinking and restricted local search for the multidimensional two-way number partitioning problem. Computers & Operations Research 78 (2017) 243-254. doi: 10.1016/j.cor.2016.09.005
  • [1945] R. A. Carrasco, J. Sánchez-Fernández, F. Muñoz-Leiva, M. F. Blasco, E. Herrera-Viedma. Evaluation of the Hotels E-Services Quality Under the User's Experience. Soft Computing 21:4 (2017) 995-1011. doi: 10.1007/s00500-015-1832-0
  • [1970] F.J. Cabrerizo, J. López-Gijón, M.A. Martínez, J.A. Morente-Molinera, E. Herrera-Viedma. A fuzzy linguistic extended libqual+ model to assess service quality in academic libraries. International Journal of Information Technology & Decision Making 16:1 (2017) 225-244. doi: 10.1142/S0219622015500406 PDF Icon
  • [1994] F.J. Cabrerizo, R. Al-Hmouz, A. Morfeq, A.S. Balamash, M.A. Martínez, E. Herrera-Viedma. Soft consensus measures in group decision making using unbalanced fuzzy linguistic information. Soft Computing 21:11 (2017) 3037-3050. doi: 10.1007/s00500-015-1989-6 PDF Icon
  • [2307] J. Alcalá-Fdez, R. Alcalá, S. González, Y. Nojima, S. García. Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification. IEEE Transactions on Fuzzy Systems 25:6 (2017) 1376-1390. doi: 10.1109/TFUZZ.2017.2718491 BibTex Icon
  • [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 PDF Icon BibTex Icon
  • [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
  • [2091] J.A. Morente-Molinera, J. Mezei, C. Carlsson, E. Herrera-Viedma. Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy. IEEE Transactions on Fuzzy Systems 25:5 (2017) 1078-1089. doi: 10.1109/TFUZZ.2016.2594275
  • [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 PDF Icon
  • [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.
  • [2110] W. Liu, Y. Dong, F. Chiclana, F.J. Cabrerizo, E. Herrera-Viedma. Group decision-making based on heterogeneous preference relations with self-confidence. Fuzzy Optimization and Decision Making 16:4 (2017) 429-447. doi: 10.1007/s10700-016-9254-8
  • [2111] M. Lozano, C. García-Martínez, F. J. Rodriguez, H. Trujillo. Optimizing Network Attacks by Artificial Bee Colony. Information Sciences 377 (2017) 30-50. doi: 10.1016/j.ins.2016.10.014 PDF Icon
  • [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 PDF Icon BibTex Icon
  • [2115] V. Perez-Cabezas, J.A. Moral-Muñoz, C. Ruiz-Molinero, B. Nuñez-Moraleda. A Problem-Based Learning and Knowledge Building Method to Learn Basic Theorical Concept. International Technology, Education and Development Conference (INTED 2017), Valencia (Spain), March 6-8, 2017. doi: 10.21125/inted.2017.0518
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  • [2117] J. Wu, F. Chiclana, H. Fujita, E. Herrera-Viedma. A visual interaction consensus model for social network group decision making with trust propagation. Knowledge Based-Systems 122 (2017) 39-50. doi: 10.1016/j.knosys.2017.01.031
  • [2118] M.A. Martínez, F.L. Rodríguez, M.J. Cobo, E. Herrera-Viedma. ¿Qué está pasando en el Área de Trabajo Social, según el Web of Science?. Cuadernos de Trabajo Social 30-1 (2017) 125-134. doi: 10.5209/CUTS.51495
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    Enlace a la revista completa

  • [2137] O. Taylan, M.A. Zytoon, A. Morfeq, R. Al-Hmouz, E. Herrera-Viedma. Workplace assessment by fuzzy decision tree and TOPSIS methodologies to manage the occupational safety and health performance in food industries. J. of Intelligent and Fuzzy Systems, 33 (2017) 1209–1224.
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  • [2145] Y. Xu, F.J. Cabrerizo, E. Herrera-Viedma. A consensus model for hesitant fuzzy preference relations and its application in water allocation management. Applied Soft Computing 58 (2017) 265-284. doi: 10.1016/j.asoc.2017.04.068 PDF Icon
  • [2146] T. Sabbah, A. Selamat, F.S. Al-Anzi, E. Herrera-Viedma, O. Krejcar. Modified frequency-based term weighting schemes for text classificationent. Applied Soft Computing, Vol. 58, 2017, Pages 193-206..
  • [2147] L. Alcaide Muñoz, M.P. Rodríguez Bolivar, M.J. Cobo, E. Herrera-Viedma. Analysing the scientific evolution of e-government using a science mapping approach. Government Information Quarterly 34:3 (2017) 545-555. doi: 10.1016/j.giq.2017.05.002 PDF Icon
  • [2149] M. De la Flor-Martínez, P. Galindo-Moreno, E. Sánchez-Fernández, E. Adabal, M.J. Cobo, E. Herrera-Viedma. Evaluation of scientific output in Dentistry in Spanish universities. Medicina Oral Patología Oral y Cirugía Bucal, 22:4 (2017), e491-9. doi: doi:10.4317/medoral.21656 PDF Icon
  • [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 BibTex Icon
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  • [2413] R.P. De Lope, N. Medina, R. Montes, A. Mora, F.L. Gutiérrez. Designing educational games: Key elements and methodological approach. VS-Games 2017, 9th International Conference on Virtual Worlds and Games for Serious Applications. 6-8 September, 2017 - Athens, Greece. doi: 10.1109/VS-GAMES.2017.8055812
  • [2418] D. Bérard, B. Sicardy, J. I. B. Camargo, J. Desmars, F. Braga-Ribas, J.-L. Ortiz, R. Duffard, N. Morales, E. Meza, R. Leiva, G. Benedetti-Rossi, R. Vieira-Martins, A.-R. Gomes Júnior, M. Assafin, F. Colas, J.-L. Dauvergne, P. Kervella, J. Lecacheux, L. Maquet, F. Vachier, S. Renner, B. Monard, A. A. Sickafoose, H. Breytenbach, A. Genade, W. Beisker, K.-L. Bath, H.-J. Bode, M. Backes, V. D. Ivanov, E. Jehin, M. Gillon, J. Manfroid, J. Pollock, G. Tancredi, S. Roland, R. Salvo, L. Vanzi, D. Herald, D. Gault, S. Kerr, H. Pavlov, K. M. Hill, J. Bradshaw, M. A. Barry, A. Cool, B. Lade, A. Cole, J. Broughton, J. Newman, R. Horvat, D. Maybour, D. Giles, L. Davis, R. A. Paton, B. Loader, A. Pennell, P.-D. Jaquiery, S. Brillant, F. Selman, C. Dumas, C. Herrera, G. Carraro, L. Monaco, A. Maury, A. Peyrot, J.-P. Teng-Chuen-Yu, A. Richichi, P. Irawati, C. De Witt, P. Schoenau, R. Prager, C. Colazo, R. Melia, J. Spagnotto, A. Blain, S. Alonso, A. Román, P. Santos-Sanz, J.-L. Rizos, J.-L. Maestre, D. Dunham. The Structure of Chariklo’s Rings from Stellar Occultations. The Astronomical Journal 154(4):144. doi: 10.3847/1538-3881/aa830d PDF Icon
  • [2424] C. del Val, E. Ruiz, R. Alcalá, A. Fernández, C. Cano, W. Fajardo, J. Alcalá-Fdez. Can Bioinformatics close the gender gap in STEM skills? : Reflections from the I Bioinformatics UGR Workshop. III Jornadas Andaluzas de Informática (JAI 2017), Canillas de Aceituno (Spain), 14-17, September 22-24, 2017. BibTex Icon
  • [2426] M. Victor, M. Mondragon, V. Garcia-Diaz, R. González-Crespo, C. Porcel, E. Herrera-Viedma. Adaptive contents for Interactive TV guided by machine learning based on predictive sentiment analysis of data. Soft Computing, 1-22. doi: https://doi.org/10.1007/s00500-017-2530-x
  • [2450] J. Bernabé-Moreno, A. Tejeda-Lorente, C. Porcel, E. Herrera-Viedma. A Holistic Domain Knowledge Discovery and Recommendation System for Collaborative Wikis. New Trends in Intelligent Software Methodologies, Tools and Techniques. Proceedings of the SoMeT 2017, Frontiers in Artificial Intelligence and Applications 297, Kitakyushu (Japans), 99-114, September 26-28, 2017.. doi: 10.3233/978-1-61499-800-6-99
  • [2451] M.R. Ureña, F. Chiclana, H. Fujita and E. Herrera-Viedma. Confidence based consensus model for intuitionistic fuzzy preference relations. 4th International Conference on Control, Decision and Information Technologies (CoDIT), Barcelona, 2017, pp. 0742-0747. doi: 10.1109/CoDIT.2017.8102683
  • [2455] F.J. Cabrerizo, I.J. Pérez, S. Alonso, E. Herrera-Viedma, J.A. Morente-Molinera, M.R. Ureña. Granulación de la información lingüística para mejorar el consenso. III Jornadas Andaluzas de Informática, Canillas de Aceituno, Málaga (Spain), 25-28, September 22-24, 2017.
  • [2456] M.J. Del Moral-Ávila, F. Chiclana-Parrilla, J.M. Tapia Garcia, E. Herrera-Viedma. An Analysis on Consensus Measures in Group Decision Making. 4th International Conference on Control, Decision and Information Technologies (CoDIT17). 5-7/04/2017. Barcelona, Spain..
  • [2457] J.M. Tapia Garcia, M.J. Del Moral-Ávila,S. Alonso, E. Herrera-Viedma. A Statistical Study for Quantifier-Guided Dominance and Non-Dominance Degrees for the Selection of Alternatives in Group Decision Making Problems. 10th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2017). 11-15/09/2017. Warsaw, Poland.. doi: 10.1007/978-3-319-66827-7
  • [2458] M.J. Del Moral-Ávila, F. Chiclana-Parrilla, J.M. Tapia Garcia, E. Herrera-Viedma. An alternative calculation of the consensus degree in group decision making problems. 5th International Conference on Information Technology and Quantitative Management (ITQM 2017). 8-10/12/2017. New Delhi, India.. doi: 10.1016/j.procs.2017.11.431
  • [2483] K. García, E. Gutiérrez, R. Montes. Cuestionarios para la evaluacion de la comunicacion y la satisfaccion al aplicar metodologias flipped classroom combinadas con m-learning en Educacion Superior.. III Congreso Internacional de Educación Mediática y Competencia Digital (CIEMCD), 15-17 junio, 2017..
  • [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 BibTex Icon
  • [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
  • [2607] J. Santamaría, E. Bermejo, C. Enríquez, S. Damas, O. Cordón. New Application of 3D VFH Descriptors in Archaeological Categorization: A Case Study. ternational Joint Conference SOCO'17-CISIS'17-ICEUTE'17, León (Spain), 229-236, September 6-8, 2017.
  • [2608] M. Chica, R. Chiong, M. T. P. Adam, S. Damas, T. Teubner. An evolutionary trust game for the sharing economy. Proc. 2017 IEEE International Conference on Evolutionary Computation (CEC2017), San Sebastián (Spain), 2510-2517, June 5-8, 2017.
  • [2614] P.D. Gutiérrez. Identificación y clasificación biométrica a gran escala basada en huellas dactilares y GPU. Department of Computer Science and Artificial Intelligence, University of Granada.
    Advisor: F. Herrera, M. Lastra
    Bibliography information

  • [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 (120)

  • [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 PDF Icon
  • [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 PDF Icon
  • [2108] D. Peralta. Minería de datos en computación de altas prestaciones para identificación en base a huellas dactilares. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada.
    Advisor: F. Herrera, J.M. Benítez
  • [1849] A. Palacios, L. Sanchez, I. Couso. An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia. Neurocomputing 176 (2016) 60-71.
  • [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.
  • [2106] Y. Dong, C-C. Li, F. Chiclana, E. Herrera-Viedma. Average-case consistency measurement and analysis of interval-valued reciprocal preference relations. Knowledge-Based Systems 114C (2016) pp. 108-117.
  • [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
  • [1899] J.A. Morente-Molinera, R. Al-hmouz, A. Morfeq, A.S. Balamash, E. Herrera-Viedma. A Decision Support System for Decision Making in Changeable and Multi-Granular Fuzzy Linguistic Contexts. J. of Mult.-Valued Logic & Soft Computing 26.3-5 (2016) 485-514.
  • [1920] J. Alcalá-Fdez, J.M. Alonso. A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends and Prospects. IEEE Transactions on Fuzzy Systems 24:1 (2016) 40-56. doi: 10.1109/TFUZZ.2015.2426212 BibTex Icon
    COMPLEMENTARY MATERIAL to the paper: software, bibliography, events, etc

  • [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 BibTex Icon
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results, etc

  • [1949] M. González, C. Bergmeir, I. Triguero, Y. Rodríguez, J.M. Benítez. On the Stopping Criteria for k-Nearest Neighbor in Positive Unlabeled Time Series Classification Problems. Information Sciences 328 (2016) 42-59. doi: 10.1016/j.ins.2015.07.061 BibTex Icon
  • [1954] J.A. Morente-Molinera, R. Wikström, E. Herrera-Viedma, C. Carlsson. An implementation of a linguistic mobile decision support system based on fuzzy ontologies to facilitate knowledge mobilization. Decision Support Systems 81 (2016) 66-75. doi: 10.1016/j.dss.2015.09.001
  • [1961] J.A. Morente-Molinera, I.J. Pérez, M.R. Ureña, E. Herrera-Viedma. Creating knowledge databases for storing and sharing people knowledge automatically using group decision making and fuzzy ontologies. Information Sciences 328 (2016) 418-434. doi: 10.1016/j.ins.2015.08.051 PDF Icon
  • [1962] J.A. Moral-Muñoz, M.J. Cobo, F. Chiclana, A. Collop, E. Herrera-Viedma. Analyzing highly cited papers in Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems 17:4 (2016) 993 - 1001. doi: 10.1109/TITS.2015.2494533
  • [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
  • [1975] R. Yera, J. Castro, L. Martínez. A fuzzy model for managing natural noise in recommender systems. Applied Soft Computing 40 (2016) 187-198. doi: 10.1016/j.asoc.2015.10.060
    source code of the experimentation

  • [1985] M. de la Flor, P. Galindo-Moreno, E. Sánchez-Fernandez, A. Piatteli, M.J. Cobo, E. Herrera-Viedma. H-classic: A new method to identify classic articles in implant dentistry, periodontics, and oral surgery. Clinical Oral Implants Research 27:10 (2016), 1317–1330. doi: 10.1111/clr.12749 PDF Icon
  • [1986] R. Heradio, H. Perez-Morago, D. Fernandez-Amoros, F.J. Cabrerizo, E. Herrera-Viedma. A Bibliometric Analysis of 20 Years of Research on Software Product Lines. Information and Software Technology 72 (2016) 1-15. doi: 10.1016/j.infsof.2015.11.004
  • [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 PDF Icon BibTex Icon
  • [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 PDF Icon
  • [1998] Y. Dong, H. Zhang, E. Herrera-Viedma. Integrating experts' weights generated dynamically into the consensus reaching process and its applications in managing non-cooperative behaviors. Decision Support Systems 84(2016) 1-15.
  • [2004] M. Chica, J. Bautista, O. Cordón, S. Damas. A multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand. Omega 54:1 (2016) 55-68. doi: 10.1016/j.omega.2015.04.003
  • [2005] A. Sancho-Asensio, A. Orriols-Puig, J. Casillas. Evolving association streams. Information Sciences 334-335 (2016) 250-272. doi: 10.1016/j.ins.2015.11.043 PDF Icon
  • [2101] S. Vluymans, I. Triguero, C. Cornelis, Y. Saeys. EPRENNID: An Evolutionary Prototype Reduction Based Ensemble for Nearest Neighbor Classification of Imbalanced Data. Neurocomputing 216 (2016) 596-610. doi: 10.1016/j.neucom.2016.08.026
  • [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
  • [2097] M. Lozano, M. Laguna, R. Martí, F. J. Rodriguez, C. García-Martínez. A genetic algorithm for the minimum generating set problem. Applied Soft Computing 48 (2016) 254-264. doi: 10.1016/j.asoc.2016.07.020
  • [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 PDF Icon
  • [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
  • [2018] N. Bova, V. Gál, O. Ibáñez, O. Cordón. Deformable models direct supervised guidance: A novel paradigm for automatic image segmentation. Neurocomputing 177 (2016) 317–333. doi: 10.1016/j.neucom.2015.11.023 PDF Icon
  • [2020] C. Campomanes-Álvarez, O. Ibáñez, O. Cordón. Design of criteria to assess craniofacial correspondence in forensic identification based on computer vision and fuzzy integrals. Applied Soft Computing 46 (2016) 596-612. doi: 10.1016/j.asoc.2015.11.006
  • [2052] L.G. Perez, F. Mata, F. Chiclana, G. Kou, E. Herrera-Viedma. Modelling influence in group decision making. Soft Computing 20:4 (2016) 1653-1665. doi: 10.1007/s00500-015-2002-0
  • [2071] M. Lozano, F. J. Rodriguez, D. Peralta, C. García-Martínez. Randomized Greedy Multi-Start Algorithm for the Minimum Common Integer Partition Problem. Engineering Applications of Artificial Intelligence 50 (2016) 226-235. doi: 10.1016/j.engappai.2016.01.037
  • [2072] I. Triguero, C. Vens. Labelling Strategies for Hierarchical Multi-Label Classification Techniques. Pattern Recognition 56 (2016) 170-183. doi: 10.1016/j.patcog.2016.02.017 PDF Icon
  • [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 PDF Icon BibTex Icon
  • [2074] M.R. Ureña, F.J. Cabrerizo, J.A. Morente-Molinera, E. Herrera-Viedma. GDM-R: A new framework in R to support fuzzy group decision making processes. Information Sciences 357 (2016) 161-181. doi: 10.1016/j.ins.2016.03.008 PDF Icon
  • [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
  • [2076] A. Cid-López, M. J. Hornos, R. A. Carrasco-González, E. Herrera-Viedma. Applying a Linguistic Multi-Criteria Decision-Making Model to the Analysis of ICT Suppliers' Offers. Expert Systems with Applications 57 (2016) 127–138. doi: 10.1016/j.eswa.2016.03.025
  • [2077] R. Heradio, L. de la Torre, D. Galan, F.J. Cabrerizo, E. Herrera-Viedma, S. Dormido. Virtual and Remote Labs in Education: a Bibliometric Analysis. Computers & Education 98 (2016) 14–38. doi: 10.1016/j.compedu.2016.03.010
  • [2078] C. De Maio, G. Fenza, V. Loia, F. Orciuoli, E. Herrera-Viedma. A Framework for Context-aware Heterogeneous Group Decision Making in Business Processes. Knowledge-Based Systems 102 (2016) 39–50.
  • [2080] S. Massanet, J. V. Riera, J.Torrens, E. Herrera-Viedma. A model based on subjective linguistic preference relations for group decision making problems. Information Sciences 2016) 355–356, 249–264.
  • [2081] P. Mesejo, O. Ibáñez, O. Cordón, S. Cagnoni. A Survey on Image Segmentation using Metaheuristic-based Deformable Models: State of the Art and Critical Analysis. Applied Soft Computing 44 (2016) 1-29. doi: 10.1016/j.asoc.2016.03.004
  • [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 PDF Icon BibTex Icon
  • [2083] S. Moreno, M. Damas, H. Pomares, J.A. Moral-Muñoz, O. Banos. Designing a Gamified System to Support Cancer Patients' Recovery. International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2016), Proceedings Extended Abstracts, Granada (Spain), April 20-22, 2016.
  • [2084] J.A. Moral-Muñoz. Grado de Institucionalización y Evolución Conceptual de la Fisioterapia: Estado, Relaciones y Líneas de Investigación. PhD Dissertation, Department of Information and Communication, University of Granada.
    Advisor: E. Herrera-Viedma, M.J. Cobo, M. Arroyo-Morales
  • [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 PDF Icon BibTex Icon
  • [2087] Y. Dong, H. Zhang, E. Herrera-Viedma. Consensus reaching model in the complex and dynamic MAGDM problem. Knowledge-Based Systems 106 (2016) 206–219. doi: 10.1016/j.knosys.2016.05.046
  • [2088] L. Alcaide-Muñoz, M. P. Rodríguez-Bolívar, M.J. Cobo, E. Herrera-Viedma. Science Mapping Tools: their application to e-Government field. 17th Annual International Conference on Digital Government Research (dg.o 2016), Shanghai, China, June 8-10, 2016. doi: 10.1145/2912160.2912172
  • [2090] C. Figueroa, H. Ordóñez, J. C. Corrales, C. Cobos, L. K. Wives, E. Herrera-Viedma. Improving Business Process Retrieval Using Categorization and Multimodal Search. Knowledge-Based Systems 110 (2016) 49-59. doi: 10.1016/j.knosys.2016.07.014
  • [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 Classi ers 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
  • [2102] A. Segura, R. Pérez-Pérez, J. Alcalá-Fdez. New Open Source Modules in KEEL to Analyze and Export Fuzzy Association Rules. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver (Canada), 225-232, July 24-29, 2016. BibTex Icon
  • [2103] J. Luengo, A. M. García-Vico, M. D. Pérez-Godoy, C. J. Carmona. The influence of noise on the evolutionary fuzzy systems for subgroup discovery. Soft Computing 20:11 (2016) 4313-4330. doi: 10.1007/s00500-016-2300-1
  • [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. PDF Icon
  • [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 PDF Icon BibTex Icon
  • [2112] S. Moreno, M. Damas, H. Pomares, J.A. Moral-Muñoz, O. Banos. First Approach to Automatic Performance Status Evaluation and Physical Activity Recognition in Cancer Patients. Smart Ubiquitous Technologies for Human Behaviour Coaching (SUT4Coaching 2016) , Granada (Spain), December 14-16, 2016. doi: 10.1109/IUCC-CSS.2016.024
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  • [2120] J.A. Morente-Molinera, I.J. Pérez, F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma. Filling fuzzy ontologies with people knowledge using fuzzy ontologies and group decision making methods. International Conference on Control, Decision and Information Technologies (CoDIT 2016), Saint Julian's (Malta), 12-17, April 6-8, 2016. doi: 10.1109/CoDIT.2016.7593527
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  • [2124] Z. Ding, H. Liang, Y. Dong, F.Chiclana, E. Herrera-Viedma, F.J. Cabrerizo. An opinion control rule with minimum adjustments to support the consensus reaching in bounded confidence model. 4th International Conference on Information Technology and Quantitative Management (ITQM 2016), Procedia Computer Science 91, Asan (South Korea), 617-624, August 16-18, 2016. doi: 10.1016/j.procs.2016.07.154
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  • [2126] I.J. Pérez, F.J. Cabrerizo, S. Alonso, F. Chiclana, E. Herrera-Viedma. Soft consensus models in group decision making. In: T. Calvo, J. Torrens (eds.): Fuzzy Logic and Information Fusion: To commemorate the 70th birthday of Professor Gaspar Mayor, Studies in Fuzziness and Soft Computing 339, Springer, 2016, 135-153. ISBN 978-3-319-30419-9. doi: 10.1007/978-3-319-30421-2_10
  • [2130] J.A. Morente-Molinera, I.J. Pérez, F.J. Cabrerizo, C. Porcel, E. Herrera-Viedma. Improving queries and representing heterogeneous information in Fuzzy Ontologies using multi-granular fuzzy linguistic modelling methods. 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), Budapest (Hungary), 290-295, October 9-12, 2016. doi: 10.1109/SMC.2016.7844256
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  • [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
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  • [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. PDF Icon
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  • [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

  • [2258] R.M. Rodríguez, Á. Labella, L. Martínez. An Overview on Fuzzy Modelling of Complex Linguistic Preferences in Decision Making. International Journal of Computational Intelligence Systems 9 (2016) 81-94. doi: 10.1080/18756891.2016.1180821 PDF Icon
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  • [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.
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  • [2342] R. Rekik, I. Kallel, J. Casillas, A.M. Alimi. Using multiple criteria decision making approaches to assess the quality of web sites. International Journal of Computer Science and Information Security 14:7 (2016) 747-761. PDF Icon
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  • [2350] R. Yera, J. Castro, L. Martínez. An Approach For Natural Noise Management In Recommender Systems Using Fuzzy Logic. Uncertainty Modelling in Knowledge Engineering and Decision Making: Proceedings of the 12th International FLINS Conference (FLINS 2016), Roubaix (France), August 24-26, 2016. doi: 10.1142/10207
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  • [2352] S. Salcedo-Sanz, C. Camacho-Gomez, D. Molina, F. Herrera. A coral reefs optimization algorithm with substrate layers and local search for large scale global optimization. 2016 IEEE Congress on Evolutionary Computation, CEC 2016, Vancouver, BC, Canada, July 24-29, 3574-3581, 2016.. doi: 10.1109/CEC.2016.7744242 PDF Icon BibTex Icon
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    R source code of the package, replication code from the manuscript

  • [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. PDF Icon
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  • [2373] E. Monasterio, O. Mei-Dan, A.C. Hackney, A.R. Lane, I. Zwir, S. Rozsa , C.R. Cloninger. Stress reactivity and personality in extreme sport athletes: The psychobiology of BASE jumpers.. Journal: Physiol Behav. 2016 Sep 29;167:289-297. doi: 10.1016/j.physbeh.2016.09.025 BibTex Icon
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2015 (170)

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  • [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 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes

  • [1730] M.A. Martínez-Sánchez, M.J. Cobo, M. Herrera, E. Herrera-Viedma. Analyzing the Scientific Evolution of Social Work Discipline Using Science Mapping. Research on Social Work Practice 5:2 (2015) 257-277. doi: 10.1177/1049731514522101 PDF Icon
  • [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 PDF Icon
  • [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 PDF Icon
  • [1784] P. Mesejo, A. Valsecchi, L. Marrakchi-Kacem, S. Cagnoni, S. Damas. Biomedical image segmentation using geometric deformable models and metaheuristics. Computerized Medical Imaging and Graphics 43 (2015) 167-178. doi: 10.1016/j.compmedimag.2013.12.005
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  • [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 PDF Icon
  • [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 PDF Icon
  • [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 PDF Icon BibTex Icon
  • [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 PDF Icon BibTex Icon
  • [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 PDF Icon
  • [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 PDF Icon
  • [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 PDF Icon BibTex Icon
  • [1820] E.M. Murgado-Armenteros, M. Gutiérrez-Salcedo, F.J. Torres-Ruiz, M.J. Cobo. Analysing the Conceptual Evolution of Qualitative Marketing Research through Science Mapping Analysis. Scientometrics 102:1 (2015) 519-557. doi: 10.1007/s11192-014-1443-z PDF Icon
  • [1822] M. Lastra, D. Molina, J.M. Benítez. A high performance memetic algorithm for extremely high-dimensional problems. Information Sciences, 293 (2015) 35-58. doi: 10.1016/j.ins.2014.09.018 PDF Icon
  • [1823] Y. Dong, E. Herrera-Viedma. Consistency-driven automatic methodology to set interval numerical scales of 2-tuple linguistic term sets and its use in the linguistic GDM with preference relation. IEEE Transactions on Cybernetics, 45:4 (2015) 780-792.
  • [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 PDF Icon
    COMPLEMENTARY MATERIAL to the paper

  • [1826] M. Chica, O. Cordón, S. Damas, J. Bautista. Interactive Preferences in Multiobjective Ant Colony Optimization for Assembly Line Balancing. Soft Computing 19:10 (2015) 2891-2903. doi: 10.1007/s00500-014-1451-1
  • [1827] A. Rodriguez-Ledesma, M.J. Cobo, C. Lopez-Pujalte, E. Herrera-Viedma. An overview of Animal Science Research 1945-2011 through Science Mapping Analysis. Journal of Animal Breeding and Genetics 132:6 (2015) 475-497. doi: 10.1111/jbg.12124
  • [1831] M.A. Martínez, M. Herrera, E. Contreras, A.A. Ruíz, E. Herrera-Viedma. Characterizing Highly Cited Papers in Social Work Through H-Classics. Scientometrics 102 (2015) 1713-1729. doi: 10.1007/s11192-014-1460-y
  • [1832] A. Palacios, J.L. Palacios, L. Sánchez, J. Alcalá-Fdez. Genetic Learning of the Membership Functions for Mining Fuzzy Association Rules from Low Quality Data. Information Sciences 295 (2015) 358-378. doi: 10.1016/j.ins.2014.10.027 BibTex Icon
  • [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 PDF Icon
  • [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 PDF Icon BibTex Icon
  • [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 PDF Icon
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    COMPLEMENTARY MATERIAL to the paper: experimental results and statistical tests

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  • [2039] C. Porcel, M.J. Lizarte, J. Bernabé-Moreno, E. Herrera-Viedma. A Learning Web Platform Based on a Fuzzy Linguistic Recommender System to Help Students to Learn Recommendation Techniques. Intelligent Data Engineering and Automated Learning – IDEAL 2015. 16th International Conference, Wroclaw, Poland, October 14-16, 2015, Proceedings. ISBN: 978-3-319-24833-2. doi: 10.1007/978-3-319-24834-9_57
  • [2041] F. Chiclana, R. Ureña, H. Fujita, E. Herrera-Viedma. Estimating Unknown Values in Reciprocal Intuitionistic Preference Relations via Asymmetric Fuzzy Preference Relations. In V. Torra and T. Narakawa (Eds.): Modeling Decisions for Artificial Intelligence.Proceedings of the 12th International Conference, MDAI 2015, Skövde, Sweden, September 21-23, 2015 (MDAI 2015), Lecture Notes in Artificial Intelligence 9321, pp. 66-77, 2015. Springer International Publishing Switzerland (2015).. doi: 10.1007/978-3-319-23240-9
  • [2042] R. Heradio, H. Perez-Morago, D. Fernandez-Amoros, F.J. Cabrerizo, E. Herrera-Viedma. A Science Mapping Analysis of the Literature on Software Product Lines. Intelligent Software Methodologies, Tools and Techniques. 14th International Conference, SoMet 2015, Naples, Italy, September 15-17, 2015. Proceedings. ISBN: 978-3-319-22688-0. doi: 10.1007/978-3-319-22689-7_18
  • [2043] R. Ureña, F.J. Cabrerizo, F. Chiclana, E. Herrera-Viedma. GDM-VieweR: A New Tool in R to Visualize the Evolution of Fuzzy Consensus Processes. Intelligent Software Methodologies, Tools and Techniques. 14th International Conference, SoMet 2015, Naples, Italy, September 15-17, 2015. Proceedings. ISBN: 978-3-319-22688-0. doi: 10.1007/978-3-319-22689-7_24
  • [2044] S. Massanet, J. Vicente-Riera, J. Torrens, E. Herrera-Viedma. A consensus model for group decision-making problems with subjective linguistic preference relations. Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on Istanbul. 2-5 Aug. 2015. 1-8. doi: 10.1109/FUZZ-IEEE.2015.7337886
  • [2045] F. Mata, L.G. Perez, F. Chiclana, E. Herrera-Viedma. Aggregation of unbalanced fuzzy linguistic information in decision problems based on Type-1 OWA operator. Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on Istanbul. 2-5 Aug. 2015. 1-6. doi: 10.1109/FUZZ-IEEE.2015.7337995
  • [2046] F.J. Cabrerizo, M.A. Martinez, J. Lopez-Gijon, F. Chiclana, E. Herrera-Viedma. A Web Information System to Improve the Digital Library Service Quality. IEEE International Conference on System Science and Engineering (ICSSE 2015), Frontiers in Artificial Intelligence and Applications 276, IOS Press, Morioka (Japan), 3-16, July 6-8, 2015. doi: 10.3233/978-1-61499-522-7-3
  • [2047] J.A. Morente-Molinera, W. Pedrycz, F. Chiclana, E. Herrera-Viedma. A New Selection Process Based on Granular Computing for Group Decision Making Problems. Intelligent Software Methodologies, Tools and Techniques: 13th International Conference, SoMeT 2014, Langkawi, Malaysia, September 22-24, 2014.
  • [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
  • [2049] F.J. Cabrerizo, R. Ureña, J.A. Morente-Molinera, E. Herrera-Viedma. A GDM Method Based on Granular Computing for Academic Library Management. Granular Computing and Decision-Making. Interactive and Iterative Approaches. ISBN: 978-3-319-16828-9. doi: 10.1007/978-3-319-16829-6_11
  • [2050] F. Mata, L.G. Perez, F. Chiclana, E. Herrera-Viedma. Aggregation of Unbalanced Fuzzy Linguistic Information in Group Decision Problems based on Type-1 OWA Operator.. Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, Istanbul, Turkey..
  • [2051] J.A. Morente-Molinera, I.J. Perez, F. Chiclana, E. Herrera-Viedma. A novel group decision making method to overcome the Web 2.0 challenges. Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC2015)..
  • [2054] D. Golunska, J. Kacprzyk, E. Herrera-Viedma. Modeling Different Advising Attitudes in a Consensus Focused Process of Group Decision Making. Modeling Different Advising Attitudes in a Consensus Focused Process of Group Decision Making. Intelligent Systems'2014. ISBN: 978-3-319-11312-8. doi: 10.1007/978-3-319-11313-5_26
  • [2055] E. Herrera-Viedma, J.V. Riera, S. Massanet, J. Torrens. Some Remarks on the Fuzzy Linguistic Model Based on Discrete Fuzzy Numbers. Some Remarks on the Fuzzy Linguistic Model Based on Discrete Fuzzy Numbers. Intelligent Systems'2014. ISBN: 978-3-319-11312-8. doi: 10.1007/978-3-319-11313-5_29
  • [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 PDF Icon
  • [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 PDF Icon
  • [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 PDF Icon
  • [2131] F.J. Cabrerizo, M.A. Martínez, M. Herrera, E. Herrera-Viedma. Consensus in a fuzzy environment: A bibliometric study. Third International Conference on Information Technology and Quantitative Management (ITQM 2015), Procedia Computer Science 55, Rio de Janeiro (Brazil), 660-667, July 21-24, 2015. doi: 10.1016/j.procs.2015.07.065
  • [2517] A. Tejeda-Lorente, C. Porcel, J. Beranbé-Moreno, E. Herrera-Viedma. Recommending scientific papers through a method based on bibliometric measures. 16th World Congress of the International Fuzzy Systems Association (IFSA), 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2015), Gijón (Spain) 498-505, June 30, July 03, 2015.
  • [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 PDF Icon
  • [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. PDF Icon
  • [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.
  • [2187] M. Rubio Escudero, R. Romero Zaliz, C. Mañoso, A. de Madrid. Closing the gender gap in an introductory programming course. Computers & Education, Volume 82, pp. 409-420, 2015. doi: 10.1016/j.compedu.2014.12.003
  • [2188] F.J. Ariza Lopez, D. Barrera Rosillo, J.F. Reinoso Gordo, R. Romero Zaliz. Fitting B-spline curves for inferring road mean axis from multiple GPS traces. 4ème Conférence Internationale de la Société Marocaine de Mathématiques Appliquées (4ème congrès SM2A), Société Marocaine de Mathématiques Appliquées, Oujda, Marruecos, 12 al 14 de febrero de 2015.
  • [2189] F.J. Ariza Lopez, D. Barrera Rosillo, J.F. Reinoso Gordo, R. Romero Zaliz. Inferring mean road axis from big data: sorted points cloud belonging to traces. International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2015), Metz, France, 11 al 13 de mayo de 2015.
  • [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. PDF Icon
  • [2193] J.F. Reinoso Gordo, M.J. Ibañez, R. Romero Zaliz. Parallelizing drainage network algorithm using free software: Octave as a solution. Méthodes d'Approximation et Modélisation Numérique en Environnement et Ressources Naturelles (MAMERN VI). Pau, France, 1 al 5 de junio de 2015.
  • [2194] R. Romero Zaliz, F.F. Reinoso Gordo, D. Barrera Rosillo, F.J. Ariza Lopez. Minimizing the B-spline nodes when determining the representative road axis from a GPS points cloud. 15th Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE 2015), Cadiz, España, del 6 al 10 de julio de 2015.
  • [2206] A. Peyaud, A. Angelopoulos, C. Chelmis, V. Costopoulos, M. Chica, I. Giomataris, A. Gongadze, T. Herbert, I. Kantemiris, S. Kirch, J.P. Mols, T. Papaevangelou, P. Pavlopoulos, F. Quinlan. The Forfire photodetector. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 787 (2015) 102-104. doi: 10.1016/j.nima.2014.11.044
  • [2214] B.R. Campomanes-Álvarez. New Developments in Craniofacial Superimposition Based on Soft Computing and Computer Vision. PhD dissertation. University of Oviedo.
    Advisor: O. Ibáñez, S. Damas, O. Cordón
  • [2218] R. Montes, M. Gea. Unificación de los recursos de apoyo a la docencia en la Universidad de Granada. Actas del VI Congreso Internacional sobre Accesibilidad y Calidad de la Formación Virtual (CAFVIR 2015), Granada (Spain), pp.289-296, 4-6 febrero, 2015. PDF Icon
  • [2247] E. Bermejo, A. León, S. Damas, O. Cordón. Registrado evolutivo de fragmentos craneales en 3D mediante Scatter Search. X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados - MAEB 2015, At Mérida-Almendralejo (Spain), Volume: 1 pp. 91 - 96.
  • [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. PDF Icon
  • [2257] C. Wei, Z. Ren and R.M. Rodríguez. A Hesitant Fuzzy Linguistic TODIM Method Based on a Score Function. International Journal of Computational Intelligence Systems 8:4 (2015) 701-712. doi: 10.1080/18756891.2015.1046329 PDF Icon
  • [2264] J. Arnedo, DM. Svrakic , C. del Val, R. Romero Zaliz, H. Hernández-Cuervo; Molecular Genetics of Schizophrenia Consortium., AH. Fanous, MT. Pato, CN. Pato, GA. de Erausquin, CR. Cloninger, I. Zwir. Uncovering the hidden risk architecture of the schizophrenias: confirmation in three independent genome-wide association studies. Journal: American Journal of Psychiatry. 2015 Feb 1;172(2):139-53. doi: 10.1176/appi.ajp.2014.14040435
  • [2265] F.J. Estrella, R.M. Rodríguez, L. Martínez. A Hesitant Linguistic Fuzzy TOPSIS Approach Integrated into FLINTSTONES. 16th World Congress of the International Fuzzy Systems Association, Gijón (Spain), 799-806, June 30-July 3, 2015. PDF Icon
  • [2266] Das A, V. Bellofatto, J. Rosenfeld, M. Carrington , R. Romero Zaliz, C. del Val, AM. Estévez. High throughput sequencing analysis of Trypanosoma brucei DRBD3/PTB1-bound mRNAs. Journal:Molecular and Biochemical Parasitology. 2015 Jan-Feb;199(1-2):1-4. doi: 10.1016/j.molbiopara.2015.02.003
  • [2269] Cournia,TW.Allen, I. Andricioaei, B.Antonny, D. Baum, G. Brannigan,NV.Buchete,JT. Deckman, L.Delemotte,C. del Val,R. Friedman, P.Gkeka,HC. Hege, J. Hénin,MA. Kasimova,A. Kolocouris,ML. Klein,S. Khalid. Membrane Protein Structure, Function, and Dynamics: a Perspective from Experiments and Theory. Journal:Journal of Membrane Biology. 2015 Aug;248(4):611-40. doi: 10.1007/s00232-015-9802-0 PDF Icon
  • [2270] F.J. Estrella, R.M. Rodríguez, Á. Labella, L. Martínez. Un Sistema Basado en FLINTSTONES para Procesos de Selección Mediante un Modelo Difuso TOPSIS. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA’15), Albacete (Spain), November 9-12, 2015. PDF Icon
  • [2271] R.M. Rodríguez, F.J. Estrella, L. Martínez. Modelo Difuso TOPSIS que Maneja Información Lingüística Dudosa en Contextos Heterogéneos. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA’15), Albacete (Spain), November 9-12, 2015. PDF Icon
  • [2272] DC. Garcia-Ramon, MJ. Luque-Navas, CA. Molina, C. del Val, A: Osuna, S. Vilchez. Identification, sequencing and comparative analysis of pBp15.S plasmid from the newly described entomopathogen Bacillus pumilus 15.1. Journal:Plasmid. 2015 Nov;82:17-27. doi: 10.1016/j.plasmid.2015.09.001
  • [2275] DC. García Ramón. Caracterización genética y molecular de una cepa entomopatógena activa frente a la mosca de la fruta del Mediterráneo (Ceratitis capitata) para la búsqueda de factores de virulencia. Tesis: PhD Dissertation,Departamento de Bioquímica y Biología Molecular 1, University of Granada.
    Advisor: S. Vilchez, C. del Val
  • [2277] F.J. Cabrerizo, M.R. Ureña, J.A. Morente-Molinera, W. Pedrycz, F. Chiclana, E. Herrera-Viedma. A new selection process based on granular computing for group decision making problems. In: H. Fujita and A. Selamat (eds.): Intelligent Software Methodologies, Tools and Techniques, Communications in Computer and Information Science 513, Springer, 2015, 13-24. ISBN: 978-3-319-17529-4. doi: 10.1007/978-3-319-17530-0_2
  • [2281] J. Arnedo, D. Mamah, D.A. Baranger, D.M. Svrakic, G.A. De Erausquin, C.R. Cloninger, I. Zwir. Decomposition of brain diffusion imaging data uncovers latent schizophrenias with distinct patterns of white matter anisotropy. Neuroimage 2015 Oct 15;120:43-54. doi: 10.1016/j.neuroimage.2015.06.083
  • [2305] Mohamed Habib Kammoun. Hybrid MultiAgent Road Traffic Management System: Assets of Ant-Hierarchical Fuzzy Behavior in System Adaptativity. PhD Dissertation, National Engineering School of Sfax, University of Sfax, Tunisia.
    Advisor: I. Kallel, J. Casillas, A. M. Alimi
  • [2343] Alicia D. Benítez Yáñez. "Multiobjective Evolutionary Learning of Hierarchical Fuzzy Systems and their Application in Astrophysics. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada.
    Advisor: J. Casillas
  • [2382] E. Herrera-Viedma, J. Bernabé-Moreno, C. Porcel, M.A. Martínez. Solidarity in Social Media: when users abandon their comfort zone - The Charlie Hebdo case. Revista ICONO14 13:2 (2015) 6-22. doi: 10.7195/ri14.v13i2.888
  • [2615] B. Lacroix. Region-based memetic algorithms for global and multimodal continuous optimisation. Department of Computer Science and Artificial Intelligence, University of Granada.
    Advisor: D. Molina and F. Herrera
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  • [2616] F. Charte. New hybrid computing flexible methods for multilabel classification. Department of Computer Science and Artificial Intelligence, University of Granada.
    Advisor: A. Rivera, M. J. del Jesus and F. Herrera
  • [2617] L. S. Riza. Data science and Big Data Processing in R: representations and software. Department of Computer Science and Artificial Intelligence, University of Granada.
    Advisor: J.M. Benítez and F. Herrera
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  • [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 (122)

  • [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 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes

  • [1697] C. García-Martínez, F. Glover, F. J. Rodriguez, M. Lozano, R. Martí. Strategic Oscillation for the Quadratic Multiple Knapsack Problem . Computational Optimization and Applications 58:1 (2014) 161-185. doi: 10.1007/s10589-013-9623-y
  • [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 PDF Icon
    COMPLEMENTARY MATERIAL to the paper

  • [1581] M. Lozano, F. Glover, C. García-Martínez, F. J. Rodriguez, R. Martí. Tabu Search with Strategic Oscillation for the Quadratic Minimum Spanning Tree. IIE Transactions 46:4 (2014) 1-5 .
  • [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 PDF Icon
  • [1626] B.R. Campomanes-Álvarez, O. Cordón, S. Damas, O. Ibáñez. Computer-based craniofacial superimposition in forensic identification using soft computing. Journal of Ambient Intelligence and Humanized Computing, 5:5 (2014) 683-697. doi: 10.1007/s12652-012-0168-1 PDF Icon
  • [1637] I.J. Pérez, F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma. A New Consensus Model for Group Decision Making Problems with Non Homogeneous Experts. IEEE Transactions on Systems, Man, and Cybernetics: Systems 44:4 (2014) 494-498. doi: 10.1109/TSMC.2013.2259155 PDF Icon
  • [1638] E. Herrera-Viedma, F.J. Cabrerizo, J. Kacprzyk, W. Pedrycz. A Review of Soft Consensus Models in a Fuzzy Environment. Information Fusion 17 (2014) 4-13. doi: 10.1016/j.inffus.2013.04.002 PDF Icon
  • [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 PDF Icon
  • [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 PDF Icon
  • [1648] P. Shelokar, A. Quirin, O. Cordón. Three-Objective Subgraph Mining using Multiobjective Evolutionary Programming. Journal of Computer and System Sciences 80:1 (2014) 16-26. PDF Icon
  • [1660] S. Massanet, J.V. Riera, J. Torrens, E. Herrera-Viedma. A new linguistic computational model based on discrete fuzzy numbers for computing with words. Information Sciences 258 (2014) 277-290. doi: 10.1016/j.ins.2013.06.055
  • [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 PDF Icon
  • [1665] C. García-Martínez, F. J. Rodriguez, M. Lozano. Tabu-Enhanced Iterated Greedy Algorithm: A Case Study in the Quadratic Multiple Knapsack Problem. European Journal of Operational Research 232:3 (2014) 454–463. doi: 10.1016/j.ejor.2013.07.035
  • [1667] M. Restrepo, C. Cornelis, J. Gómez. Duality, Conjugacy and Adjointness of Approximation Operators in Covering Based Rough Sets. International Journal of Approximate Reasoning 55:1 (2014) 469-485. doi: 10.1016/j.ijar.2013.08.002 PDF Icon
  • [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

  • [1671] C. Cornelis, J. Medina, N. Verbiest. Multi-adjoint fuzzy rough sets: Definition, properties and attribute selection. International Journal of Approximate Reasoning 55:1 (2014) 412-426. doi: 10.1016/j.ijar.2013.09.007 PDF Icon
  • [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 PDF Icon BibTex Icon
  • [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 BibTex Icon
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  • [1677] M.J. Cobo, F. Chiclana, A. Collop, J. de Oña, E. Herrera-Viedma. A Bibliometric Analysis of the Intelligent Transportation Systems Research Based on Science Mapping. IEEE Transactions on Intelligent Transportation Systems, 11:2, pp. 901-908 (2014). doi: 10.1109/TITS.2013.2284756 PDF Icon
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  • [1707] C. Bergmeir, M. Costantini, J.M. Benítez. On the usefulness of the cross-validation for directional forecast evaluation. 7th International Conference on Computational and Financial Econometrics 2013, December 2013, London.
  • [1711] O. Cordón, K. Trawinski. A Novel Framework to Design Fuzzy Rule-based Ensembles using Diversity Induction Methods and Evolutionary Algorithm-based Classifier Selection and Fusion. Proc. International Work Conference on Artificial Neural Networks (IWANN2013), Tenerife (Spain), 11-14 June 2013, Lecture Notes in Computer Science 7902, pp. 36-58. PDF Icon
  • [1712] Nicola Bova. Soft computing and machine learning for image segmentation by deformable models. PhD Dissertation, University of Oviedo.
    Advisor: O. Cordón, O. Ibáñez
  • [1713] F. J. Rodriguez, C. García-Martínez, C. BLum, M. Lozano. Un algoritmo voraz iterativo para el problema de la planificación sobre máquinas paralelas no relacionadas. In Proceedings of the IV Congreso Español de Informática (CEDI 2013). IX Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB2013, Madrid (Spain), 902-911, 17-20 September 2013.
  • [1714] C. García-Martínez, F. J. Rodriguez, M. Lozano. Un Algoritmo Voraz Iterativo con Memoria de Destrucciones Tabú para el Problema de las Múltiples Mochilas Cuadráticas. In Proceedings of the IV Congreso Español de Informática (CEDI 2013). IX Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB2013, Madrid (Spain), 199-208, 17-20 September 2013.
  • [1715] J.M. García-Torres. Aplicación de técnicas evolutivas avanzadas al registrado de imágenes de rango. PhD Dissertation, University of Granada.
    Advisor: S. Damas and J. Santamaría
  • [1717] C. del Val, J. Royuela-Flor, S. Milenkovic, AN. Bondar. Channelrhodopsins: A bioinformatics perspective. Biochim Biophys Acta (2013) pii: S0005-2728(13)00190-4. doi: 10.1016/j.bbabio.2013.11.005
  • [1718] M.R. Ureña, E. Herrera-Viedma. Web 2.0 Tools to Support Decision Making in Enterprise Contexts. MDAI 2013, LNAI 8234, pp. 82–93, 2013. Springer-Verlag Berlin Heidelberg 2013. PDF Icon
  • [1719] M.R. Ureña, E. Herrera-Viedma. A new framework in R to support consensus processes in group decision making. IV Congreso Español de Informática (CEDI 2013). XV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2013), Madrid (Spain), pp. 1286-1294, 17-20 September, 2013.
  • [1724] A. Palacios, L. Sánchez, I. Couso. CI-LQD: A software tool for modelling and decision working with low quality data. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2013) 1-8.
  • [1725] A. Palacios, L. Sánchez, I. Couso. An extension of the FURIA classification algorithm to low quality data. Hybrid Artificial Intelligent Systems, Lecture Notes in Computer 8073 (2013) 679-688.
  • [1726] A. Palacios, L. Sánchez, I. Couso. Boosting fuzzy rules with low quality data in multi-class problems: open problems and challenges.. IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (2013) 28-35.
  • [1727] A. Palacios, L. Sánchez. A software tool for supervising classrooms comprising children with dyslexia and other learning problems.. Eurofuse Workshop Uncertainty and Imprecision Modelling in Decision Making 2013.
  • [1737] C. Cobos, M. Mendoza, E. León, M. Manic, E. Herrera-Viedma. Clustering of Web Search Results based on an Iterative Fyzzy C-means Algorithm and Bayesian Information Criterion. In: 2013 IFSA-NAFIPS Joint Congress, International Fuzzy Systems Association, Edmonton, Canada (2013) 507-512.
  • [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 .
  • [1746] L. D’eer, N. Verbiest, C. Cornelis, L. Godo. Implicator-Conjunctor Based Models of Fuzzy Rough Sets: Definitions and Properties. Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2013), LNAI 8170, p. 169-179, 2013. PDF Icon
  • [1747] M. Restrepo, C. Cornelis, J. Gómez. Characterization of Neighborhood Operators for Covering Based Rough Sets, using Duality and Adjointness. Proceedings of the 4th international workshop on Knowledge Discovery, Knowledge Management and Decision Support (EUREKA 2013), p. 98-104, 2013. PDF Icon
  • [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.. PDF Icon
  • [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. PDF Icon
  • [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. PDF Icon
  • [1751] J.D. Castellón-Fuentes, J.A. Morente-Molinera, E. Herrera-Viedma, A.G. López-Herrera. A new moodle module for interactive video-lessons: an adaptative way to follow a course. International Technology, Education and Development Conference (INTED 2013).
  • [1752] J.A. Morente-Molinera, J.D. Castellón Fuentes, E. Herrera-Viedma, A.G. López-Herrera. A decision making web platform for educational centers. International Technology, Education and Development Conference (INTED 2013).
  • [1753] J. Mezei, J.A. Morente-Molinera, C. Carlsson. Feature Selection with Fuzzy Entropy to Find Similar Cases. Annual World Conference on Soft Computing (WCSC 2013).
  • [1759] M. Fazzolari. Study and design of Multi-Objective Evolutionary Fuzzy Systems for improving the interpretability-accuracy trade-off Linguistic Fuzzy Rule-Based Systems when dealing with high-dimensional and large scale problems. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada..
    Advisor: R. Alcalá, F. Herrera
  • [1780] A. Valsecchi, S. Damas, J. Santamaría. Evolutionary intensity-based medical image registration: a review. Current Medical Imaging Reviews 9:4 (2013), 283-297. PDF Icon
  • [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..
  • [1839] F.J. Martínez-López, J. Casillas. , Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights. Industrial Marketing Management 42:4 (2013) 489-495. doi: 10.1016/j.indmarman.2013.03.001 PDF Icon
  • [1840] A. Orriols-Puig, F.J. Martínez-López, J. Casillas, N. Lee. Unsupervised KDD to creatively support managers' decision making with fuzzy association rules: A distribution channel application. Industrial Marketing Management 42:4 (2013) 532-543. doi: 10.1016/j.indmarman.2013.03.005 PDF Icon
  • [1874] N. Bova, O. Ibáñez, O. Cordón,. Local and Global optimization of Extended Topological Active Nets for Image Segmentation. Proceedings of the International Conference on Medical Imaging using bio-inspired and soft computing (2013), 123-130.
  • [2226] R. Montes, M. Gea, D. Bravo, S. Molina, R. Bergaz, A. Ramos. Turning out a social community into an e-Learning platform for MOOC: the case of AbiertaUGR. 1st International Conference on Technological Ecosystems for Enhancing Multiculturality, Salamanca (Spain), 489-493.. PDF Icon
  • [2227] M. Gea, R. Montes, R. Bergaz. abiertaUGR: a MOOC framework based on online learning communities. EFQUEL Innovation Forum 2013, Barcelona (Spain), September 17-20, 2013. PDF Icon
  • [2228] M. Gea, R. Montes, B. Rojas. Cursos masivos mediante la creación de comunidades activas de aprendizaje. Actas del XV Simposio Internacional de Tecnologías de la Información y las Comunicaciones en la Educación, dentro del IV Congreso Español de Informática (CEDI 2013), Madrid (Spain), 21-28, 17-20 de septiembre de 2013.. PDF Icon
  • [2229] M. Gea, R. Montes, B. Rojas, A. Marin, A. Cañas, I. Blanco, V. Gamiz, A. del Río, D. Bravo, M. Cadiz, C. Gutierrez. Formación abierta sobre modelos de enseñanza masivos: nuevas tendencias hacia el aprendizaje social. IV Congreso Internacional sobre Calidad y Accesibilidad de la Formación Virtual (CAFVIR), Lisboa (Portugal), 460-467, 17-19 abril, 2013. PDF Icon
  • [2230] R. Montes, M. Gea, J. Haywood. Reconocimiento del aprendizaje abierto en las universidades tradicionales. Journal for Educators, Teachers and Trainers, 4:2 (2013), 82–94. PDF Icon
  • [2231] M. Abad, N. Medina, S. Moral, R. Montes, S. Torres, F. Matesanz. Increasing power by using haplotype similarity in a multimarker transmission/disequilibrium test. Journal of Bioinformatics and Computational Biology 2:2 (2013) 1250014-1--1250014-22. PDF Icon
  • [2233] R. Montes. Recursos de aprendizaje en abierto. La experiencia OERtest. T. Daouas y M. Gea (eds.): Formacion virtual para el aprendizaje permanente y el intercambio cultural en el Mediterraneo, 2013, 235-248. ISBN 978-84-338-5494-0. PDF Icon
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    Advisor: S. Damas and J. Santamaría
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2012 (149)

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  • [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 PDF Icon
  • [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 PDF Icon
    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 PDF Icon
  • [1396] J. Santamaría, O. Cordón, S. Damas, R. Martí, R. Palma. GRASP and Path Relinking Hybridizations for the Point Matching-based Image Registration Problem. Journal of Heuristics 18:1 (2012) 169-192. doi: 10.1007/s10732-011-9166-2 PDF Icon
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  • [1399] F. Muñoz-Leiva, M.I. Viedma-del-Jesus, J. Sánchez-Fernández, A.G. López-Herrera. An Application of Co-Word Analysis and Bibliometric Maps for Detecting the Most Highlighting Themes in the Consumer Behaviour Based Research from a Longitudinal Perspective. Quality & Quantity 46:4, pp. 1077-1095 (2012). doi: 10.1007/s11135-011-9565-3 PDF Icon
  • [1405] M. Chica, O. Cordón, S. Damas, J. Bautista. Multiobjective memetic algorithms for time and space assembly line balancing. Engineering Applications of Artificial Intelligence 25:2 (2012) 254–273.
  • [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 PDF Icon
    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 PDF Icon
    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 PDF Icon
  • [1419] F. Chávez, F. Fernández, M.J. Gacto, R. Alcalá. Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems. International Journal of Computational Intelligence Systems 5:2 (2012) 368-386. doi: 10.1080/18756891.2012.685327
  • [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 PDF Icon
  • [1426] O. Ibáñez, O. Cordón, S. Damas, J. Santamaría. An advanced scatter search design for skull-face overlay in craniofacial superimposition. Experts Systems with Applications 39:1 (2012) 1459-1473. doi: 10.1016/j.eswa.2011.08.034 PDF Icon
  • [1427] O. Ibáñez, O. Cordón, S. Damas. A cooperative coevolutionary approach dealing with the skull-face overlay uncertainty. Soft Computing 16:5 (2012) 797-808. doi: 10.1007/s00500-011-0770-8 PDF Icon
  • [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 PDF Icon
  • [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 PDF Icon
  • [1430] J. Luengo, José A. Sáez, F. Herrera. Missing data imputation for Fuzzy Rule Based Classifi cation Systems. Soft Computing 16 (2012) 863–881. doi: 10.1007/s00500-011-0774-4 PDF Icon
  • [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 PDF Icon
  • [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 PDF Icon
  • [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 PDF Icon
  • [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 PDF Icon
  • [1438] C. Bergmeir, J.M. Benítez. Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS. Journal of Statistical Software 46(7) (2012) 1-26.
  • [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 PDF Icon
  • [1443] A. Alvarez-Alvarez, G. Trivino, O. Cordón. Human Gait Modeling Using a Genetic Fuzzy Finite State Machine. IEEE Transactions on Fuzzy Systems 20:2 (2012) 205-223. doi: 10.1109/TFUZZ.2011.2171973 PDF Icon
  • [1446] K. Trawinski, O. Cordón, A. Quirin. A Study on the Use of Multiobjective Genetic Algorithms for Classifier Selection in FURIA-based Fuzzy Multiclassifiers. International Journal of Computational Intelligence Systems 5:2 (2012) 231-253. PDF Icon
  • [1450] A. Palacios, J. Alcalá-Fdez. Extracción de reglas de asociación difusas a partir de datos de baja calidad. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 325-330, 1-3 Febrero 2012..
  • [1451] J. Derrac, J. Luengo, A. Fernandez, S. García, J. Alcalá-Fdez. KEEL: Una herramienta docente para sistemas difusos. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 534-539, 1-3 Febrero.
  • [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.
  • [1696] S. Damas, O. Cordón, O. Ibáñez, C. Peña, R. Del Coso. New methodologies and protocols of forensic identification by craniofacial superimposition. In Proceedings of the 6th European Academy of Forensic Science Conference (EAFS 2012), The Hague (Netherlands), August 20-24, pp. 359-359. PDF Icon
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    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes

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    COMPLEMENTARY MATERIAL to the paper

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  • [1723] L. Sánchez, I. Couso, L. Junco, A. Palacios. Analisis Espectral Singular para Datos de Baja Calidad. ESTYLF 2012, XVI Congreso Español sobre Tecnologías y Lógica Fuzzy.
  • [1738] C. Cobos, L. Muñoz, M. Mendoza, E. León, E. Herrera-Viedma. Fitness Function Obtained from a Genetic Programming Approach for Web Document Clustering Using Evolutionary Algorithms. In: J. Pavón, N. Duque-Méndez, R. Fuentes-Fernández (Eds.) Advances in Artificial Intelligence – IBERAMIA 2012, Lecture Notes in Computer Science Volume 7637, Springer Berlin Heidelberg (2012) 179-188.
  • [1739] R. Alba-Ruiz, C. Bermudez-Tamayo, E. Peis, E. Herrera-Viedma. Modelo de servicio multiagente de filtradode información especializado en recursosoncológicos en español. In: XXX Reunión Científica de la Sociedad Española de Epidemiología, Santander 17-19 Octubre de 2012, publicado en la revistasGaceta Sanitaria, Vol 26 (Numero Esp.Congreso_3), (2012) 68.
  • [1744] C.J. Carmona, J. Luengo, P. Gonzalez, M.J. del Jesus. A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery. In Proceedings of 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'12), Brisbane (Australia), 10-15 June, pp 1--7.
  • [1754] S. Toledo-Redondo, A. Salinas Extremera, J.A. Morente-Molinera, A. Méndez-Montoro de Damas, J. F. Fornieles-Callejón, J. Portí-Durán, J. A. Morente-Chiquero. Parallel 3D-TLM algorithm for simulation of the Earth-ionosphere cavity. Journal of computational physics 236 (2012) 267-379.
  • [1755] C. Navarro-Luzón, C. Cano-Gutiérrez, J.A. Morente-Molinera, M. E. Cuadros-Celorrio, A. Blanco-Morón. Computer-assisted annotation of SNPs in regulatory regions of whole-genome sequencing data. Principles and Applications of Biomedical Engineering. Whiley.
  • [1808] Tianjun Liao, D. Molina, Thomas Stutzle, Marco A. Montes de Oca, Marco Dorigo. An ACO Algorithm Benchmarked on the BBOB Noiseless Function Testbed. Proceedings of the 14th annual conference companion on Genetic and evolutionary computation (GECCO '12).
  • [1841] F.J. Marín, J. Casillas, F.J. Martínez-López. MarkiS: a marketing intelligent system software application for causal modeling. [MIEMBRO 0007 J. Casillas], F.J. Martínez-López, J.M. Corchado (Eds.), Management Intelligent Systems - First International Symposium, Advances in Intelligent Systems and Computing 171 (2012) 165-174.
  • [1875] F. Romero-Porta, P. Mesejo, O. Ibáñez, A. Porto-Pazos. Optimización mediante Computación Evolutiva de la interacción Neurona-Astrocito en Redes Neurogliales Artificiales. Proceedings del VIII Congreso Español sobre Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (2012), 651-658.
  • [2232] M. Gea, R. Montes, M. González, M.J. Álvarez. Sistema de Garantía de Calidad para las modalidades de enseñanza online y tendencias hacia recursos educativos en abierto. TICAI 2012: TICs para el Aprendizaje de la Ingeniería IEEE, Sociedad de Educación: Capítulos Español y Portugués, 2012, 53-57. ISBN 978-84-8158-632-9. PDF Icon
  • [2239] J.J. Merelo, R. Montes, F. Tricas. Teaching and social media: best practices. EFQUEL Innovation Forum 2012, Granada (Spain), 45-51, september, 5-7, 2012. PDF Icon
  • [2240] M. Gea, R. Montes, V. Gamiz, B. Rojas, R. Raposo, E. Arjona, J.M. de Cordoba. Online Learning Communities: from Personal to Social Learning Environments. The PLE Conference 2012, Aveiro (Portugal), july 11-13, 2012. PDF Icon
  • [2241] R. Montes, G. Rodriguez, M. González, M. Gea. Enseñanza online y Recursos de Aprendizaje Abiertos: Recomendaciones de procedimientos basados en modelos de calidad. Actas del III Congreso Iberoamericado sobre Calidad y Accesibilidad de la Formacion Virtual (CAFVIR), Alcalá de Henares (Spain), 386-398, april 25-27, 2012. PDF Icon
  • [2242] R. Montes, J.M. de Cordoba, A. Bailón, I. Blanco, A. Camilleri. The OERtest Clearinghouse. Actas del OCW Conference 2012. Innovation and Impact: Openly Collaborating to Enhance Education, Cambridge (Reino Unido), april 16-18, 2012. PDF Icon
  • [2243] S. Torres, M. Sanchez, G. Arroyo, N. Medina, R. Montes, F. Soler, M. Abad. 3D Visualization of Haplotype Risk Maps. International conference on Bioinformatics Models, Methods and Algorithms (Bioinformatics), Vilamoura (Portugal), 275-280, february, 2012. PDF Icon
  • [2245] M. Abad, N. Medina, R. Montes, F. Matesanz, V. Vineet. Sample Reproducibility of Genetic Association Using Different Multimarker TDTs in Genome-Wide Association Studies: Characterization and a New Approach. Journal PLoS ONE 7:2 (2012) e29613. doi: doi.org/10.1371/journal.pone.0029613 PDF Icon
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  • [2295] J. Arnedo; I. Zwir; R. Romero Zaliz. Biclustering of very large datasets with GPU tecnology using CUDA. Latin American Symposium on High Performance Computing HPCLatAm 2012 Buenos Aires, Argentina 2012.
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2011 (111)

  • [1099] P. Shelokar, A. Quirin, O. Cordón. Subgraph Mining in Graph-based Data using Multiobjective Evolutionary Programming. In Proceedings of the 2011 IEEE International Conference on Evolutionary Computation (CEC2011), New Orleans (USA), 5-8 June, pp. 1730-1737, 2011. PDF Icon
  • [1164] S. Damas, O. Cordón, O. Ibáñez, J. Santamaría, I. Alemán, MC. Botella, F. Navarro. Forensic identification by computer-aided craniofacial superimposition: a survey. ACM Computing Surveys 43:4 (2011) 27:1-27:27.
  • [1249] M. Chica, O. Cordón, S. Damas, J. Bautista. A new diversity induction mechanism for a multi-objective ant colony algorithm to solve a real-world time and space assembly line balancing problem. Memetic Computing 3: 1 (2011) 15-24. PDF Icon
  • [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 PDF Icon
  • [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

  • [1279] J.L. Aznarte M., J. Alcalá-Fdez, A. Arauzo, J.M. Benítez. Fuzzy autoregressive rules: Towards linguistic time series modeling. Econometric Reviews 30:6 (2011) 609–631. doi: 10.1080/07474938.2011.553569
  • [1286] M. Chica, O. Cordón, S. Damas, J. Bautista. Including different kinds of preferences in a multi-objective ant algorithm for time and space assembly line balancing on different Nissan scenarios. Expert Systems with Applications 38:1 (2011) 709-720. PDF Icon
  • [1292] I.J. Pérez, F.J. Cabrerizo, E. Herrera-Viedma. Group Decision Making Problems in a Linguistic and Dynamic Context. Expert Systems With Applications 38:3 (2011), 1675-1688. doi: 10.1016/j.eswa.2010.07.092 PDF Icon
  • [1381] S. Damas, O. Cordón, J. Santamaría. Medical Image Registration Using Evolutionary Computation: A Survey. IEEE Computational Intelligence Magazine 6:4 (2011) 26-42. PDF Icon
  • [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 PDF Icon
  • [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 PDF Icon
  • [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 PDF Icon
  • [1325] P. Victor, C. Cornelis, M. De Cock, E. Herrera-Viedma. Practical Aggregation Operators for Gradual Trust and Distrust. Fuzzy Sets and Systems 184:1 (2011) 126-147. doi: 10.1016/j.fss.2010.10.015 PDF Icon
  • [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 PDF Icon
  • [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
  • [1337] M.I. Viedma-del-Jesus, P. Perakakis, M.A. Muñóz, A.G. López-Herrera, J. Vila. Sketching the First Forty-Five Years of the Journal Psychophysiology (1964-2008): A Co-word Based Analysis. Psychophysiology 48 (2011), 1029–1036. doi: 10.1111/j.1469-8986.2011.01171.x PDF Icon
  • [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 PDF Icon
  • [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. PDF Icon
  • [1358] A. Orriols-Puig, J. Casillas. Fuzzy knowledge representation study for incremental learning in data streams and classification problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications 15:12 (2011) 2389-2414. doi: 10.1007/s00500-010-0668-x PDF Icon
  • [1401] J.M. Morales-del-Castillo, E. Peis, E. Herrera-Viedma. An approach to a semantic recommender system for digital libraries. In: M. Lytras; P. Ordóñez de Pablos; E. (Eds.). Semantic Web Personalization and Context Awareness: Management of Personal Identities and Social Networking, pp. 55-68. Hershey (EE.UU.): IGI GLobal, 2011. ISBN:9781615209217.
  • [1364] S. Damas, O. Cordón, J. Santamaría. Evaluation of Various Evolutionary Methods for Medical Image Registration. In Proceedings of the Third International Workshop on Computational Intelligence in Medical Imaging (CIMI 2011), IEEE Symposium Series on Computational Intelligence - SSCI 2011, Paris (France), 11-15 April, pp. 31-37, 2011. PDF Icon
  • [1366] J. Serrano-Guerrero, E. Herrera-Viedma, J. A. Olivas, A. Cerezo, F. P. Romero. A Google Wave-based Fuzzy Recommender System to disseminate Information in University Digital Libraries 2.0 . Information Sciences 181(2011) 1503–1516. doi: 10.1016/j.ins.2011.01.012
  • [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. PDF Icon
  • [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 PDF Icon
    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 PDF Icon
  • [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 PDF Icon
    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 PDF Icon
  • [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

  • [1382] M. Chica, O. Cordón, S. Damas. An advanced multiobjective genetic algorithm design for the time and space assembly line balancing problem. Computers and Industrial Engineering 61:1 (2011) 103-117. PDF Icon
  • [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. PDF Icon
  • [1385] A. Fernandez, S. García, F. Herrera. Addressing the Classi cation 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. PDF Icon
  • [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. PDF Icon
  • [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. PDF Icon
  • [1406] J. Santamaría, O. Cordón, S. Damas. A comparative study of state-of-the-art evolutionary image registration methods for 3D modeling. Computer Vision and Image Understanding 115:9 (2011) 1340–1354. PDF Icon
  • [1410] M. Lozano, D. Molina, C. García-Martínez. Iterated greedy for the maximum diversity problem. European Journal of Operational Research, 214, (2011), 31-38. doi: 10.1016/j.ejor.2011.04.018 PDF Icon
  • [1391] A. Álvarez-Álvarez, G. Triviño, O. Cordón. Body Posture Recognition by means of a Genetic Fuzzy Finite State Machine. In Proceedings of the Fifth IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2011), IEEE Symposium Series on Computational Intelligence - SSCI 2011, Paris (France), 11-15 April, pp. 60-65, 2011. PDF Icon
  • [1392] M. Chica, O. Cordón, S. Damas, J. Bautista. A multiobjective memetic ant colony optimization algorithm for the 1/3 variant of the time and space assembly line balancing problem. In Proceedings of the 2011 IEEE Workshop on Computational Intelligence in Production and Logistics Systems (CIPLS 2011), IEEE Symposium Series on Computational Intelligence - SSCI 2011, Paris (France), 11-15 April, pp. 16-22, 2011. PDF Icon
  • [1393] K. Trawinski, O. Cordón, A. Quirin. A First Study on a Fuzzy Rule-Based Multiclassification System Framework Combining FURIA with Bagging and Feature Selection. In Proceedings of the World Conference on Soft Computing 2011 (WConSC 2011), San Francisco (USA), 23-26 May, pp. 167-175, 2011. PDF Icon
  • [1394] J.M. Alonso, O. Cordón, A. Quirin, L. Magdalena. Analyzing Interpretability of Fuzzy Rule-based Systems by means of Fuzzy Inference-grams. In Proceedings of the World Conference on Soft Computing 2011 (WConSC 2011), San Francisco (USA), 23-26 May, pp. 181-189, 2011. PDF Icon
  • [1395] M. Chica, O. Cordón, S. Damas. Tackling the 1/3 variant of the time and space assembly line balancing problem by means of a multiobjective genetic algorithm. In Proceedings of the 2011 IEEE International Conference on Evolutionary Computation (CEC2011), New Orleans (USA), 5-8 June, pp. 1367-1374, 2011. PDF Icon
  • [1397] J. Luengo. Soft Computing based learning and Data Analysis: Missing Values and Data Complexity. Department of Computer Science and Artificial Intelligence, University of Granada.
    Advisor: F. Herrera
  • [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
  • [1403] O. Ibáñez, O. Cordón, S. Damas, J. Santamaría. Modeling the skull-face overlay uncertainty using fuzzy sets. IEEE Transactions on Fuzzy Systems 19:5 (2011) 946-959. PDF Icon
  • [1404] O. Cordón. A Historical Review of Evolutionary Learning Methods for Mamdani-type Fuzzy Rule-based Systems: Designing Interpretable Genetic Fuzzy Systems. International Journal of Approximate Reasoning 52:6 (2011) 894–913. doi: 10.1016/j.ijar.2011.03.004 PDF Icon
  • [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. PDF Icon
  • [1411] J. Santamaría. Aprendizaje autónomo en ingeniería: un ejemplo práctico en Telemática. Revista de Formación e Innovación Educativa Universitaria (REFIEDU) Vol. 4 Nº2 (2011) 145-155.
  • [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. PDF Icon
  • [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. PDF Icon
  • [1415] I.J. Pérez, F.J. Cabrerizo, M.J. Cobo, S. Alonso, E. Herrera-Viedma. Consensual Processes Based on Mobile Technologies and Dynamic Information. In: Enrique Herrera-Viedma, José Luis García-Lapresta, Janusz Kacprzyk, Mario Fedrizzi, Hannu Nurmi, Slawomir Zadrozny (Eds.):Consensual Processes, Studies in Fuzziness and Soft Computing, Volume 267/2011, Springer (2011), pp. 317-337, ISBN: 978-3-642-20532-3. PDF Icon
  • [1416] I.J. Pérez. New Group Decision Making Models with Heterogeneous Information Based on Different Frameworks: Changeable Contexts, Non-Homogeneous Experts and Web 2.0. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada..
    Advisor: E. Herrera-Viedma
  • [1417] F.J. Cabrerizo, M.A. Martínez, J. López-Gijón, B. Esteban, E. Herrera-Viedma. A New Quality Evaluation Model Generating Recommendations to Improve the Digital Services Provided by the Academic Digital Libraries. 2011 International Fuzzy Systems Association World Congress and the 2011 Asian Fuzzy Systems Society (IFSA 2011), Surabaya and Bali Island (Indonesia), pp. RW_202_1-RW_202_6, June 21-25, 2011. PDF Icon
  • [1418] K. Trawinski, O. Cordón, A. Quirin. On designing fuzzy multiclassifier systems by combining FURIA with bagging and feature selection. International Journal of Uncertainty, Fuzziness, and Knowledge-based Systems 19:4 (2011) 589–633. doi: 10.1142/S0218488511007155 PDF Icon
  • [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. PDF Icon
  • [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. PDF Icon
  • [1423] I.J. Pérez, S. Alonso, F.J. Cabrerizo, J. Lu, E. Herrera-Viedma. Modelling Heterogeneity among Experts in Multi-criteria Group Decision Making Problems. The 8th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2011), Lecture Notes in Artificial Intelligence (LNAI) 6820, pp. 55-66, Changsha, Hunan (China), 28-30 July, 2011. PDF Icon
  • [1424] I.J. Pérez, F.J. Cabrerizo, E. Herrera-Viedma. A Mobile Group Decision Making Model for Heterogeneous Information and Changeable Decision Contexts. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 19:Suppl. 1 (2011) 33-52. doi: 10.1142/S0218488511007337 PDF Icon
  • [1435] C. García-Martínez, F. J. Rodriguez, M. Lozano. Role differentiation and malleable mating for differential evolution: an analysis on large-scale optimisation. Soft Computing 15:11 (2011) 2109-2126. doi: 10.1007/s00500-010-0641-8
  • [1436] J.L. Aznarte M., D. Molina, A.M. Sánchez, J.M. Benítez. A test for the homoscedasticity of the residuals in fuzzy rule-based models. Applied Intelligence, 34:3 (2011), 386--393. doi: 10.1016/j.ejor.2011.04.018 PDF Icon BibTex Icon
  • [1437] A. Araúzo-Azofra, J.L. Aznarte M., J.M. Benítez. Empirical study of feature selection methods based on individual feature evaluation for classification problems. Expert Systems with Applications, 38:7 (2011), 8170--8177.
  • [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. PDF Icon
  • [1440] J. Derrac, J. Luengo, J. Alcalá-Fdez, A. Fernandez, S. García. Using KEEL Software as a Educational Tool: A Case of Study Teaching Data Mining. Second International Conference on EUropean Transnational Education (ICEUTE 2011), Salamanca (Spain), pp. 55-60, October 20-21, 2011.
  • [1441] M.J. Cobo. SciMAT: Herramienta Software para el Análisis de la Evolución del Conocimiento Científico. Propuesta de una Metodología de Evaluación. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada..
    Advisor: A.G. López-Herrera, E. Herrera-Viedma and F. Herrera
  • [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. PDF Icon
  • [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. PDF Icon
  • [1448] M. Chica. Multiobjective Metaheuristics for Assembly Line Balancing in the Automotive Sector: Joint Optimization of Time and Space. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada, and European Centre for Soft Computing.
    Advisor: O. Cordón, S. Damas, J. Bautista
  • [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.. PDF Icon
  • [1454] Richard Jensen, C. Cornelis. Fuzzy Rough Nearest Neighbour Classification and Prediction. Theoretical Computer Science 412:42 (2011) 5871-5884. doi: 10.1016/j.tcs.2011.05.040 PDF Icon
  • [1455] T. Fayruzov, J. Janssen, D. Vermeir, C. Cornelis, M. De Cock. Modelling Gene and Protein Regulatory Networks with Answer Set Programming. International Journal of Data Mining and Bioinformatics 5:2 (2011) 209-229. doi: 10.1504/IJDMB.2011.039178 PDF Icon
  • [1456] P. Victor, C. Cornelis, M. De Cock, A. Teredesai. Trust- and Distrust-Based Recommendations for Controversial Reviews. IEEE Intelligent Systems 26:1 (2011) 48-55. doi: 10.1109/MIS.2011.22 PDF Icon
  • [1465] J.M. Benítez, J.L. Aznarte M., C. Bergmeir. Research on Time Series at the DiCITS Lab. Actas de la XIV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA11), Tenerife (Spain), November 2011 .
  • [1467] A. Tejeda-Lorente, C. Porcel, M.A. Martínez, A.G. López-Herrera, E. Herrera-Viedma. Using memory to reduce the information overload in a university digital library. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), Córdoba (Spain), pp. 444-449, 22–24 November 2011.
  • [1468] A. Tejeda-Lorente, C. Porcel, B. Esteban, E. Herrera-Viedma. Un sistema de recomendaciones para el tratamiento y prevención en fisioterapia. II Jornadas Andaluzas de Informática (JAI2011), Canillas del Aceituno (Spain), pp. 167-173, 16-18 September 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. PDF Icon
  • [1471] C. Bergmeir, J.M. Benítez. Forecaster Performance Evaluation with Cross-validation and Variants. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), Córdoba (Spain), pp. 849-854, 22–24 November 2011.
  • [1474] M. F. Lucca, E. Hopp, R. Romero Zaliz. Comparative transcription profiles of Solanum wild species under drought conditions: Preliminary results. 11th international conference on intelligent systems design and applications (ISDA 2011), Córdoba (Spain), pp. 1224-1228, 22–24 November 2011. PDF Icon
  • [1475] R. Romero Zaliz, J. Arnedo, I. Zwir, C. del Val. Finding promoter profiles with multiobjective identification of cis-regulatory modules based on constrains. 11th international conference on intelligent systems design and applications (ISDA 2011), Córdoba (Spain), pp. 1218- 1223, 22–24 November 2011. PDF Icon
  • [1476] C. García-Martínez, F. J. Rodriguez, M. Lozano. Analysing the significance of no free lunch theorems on the set of real-world binary problems. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), Córdoba (Spain), pp. 344-349, 22–24 November 2011.
  • [1477] O. Harari, C. del Val, I. Zwir. Integrating network motifs into a genetc network:a case of study based on the PhoP/phoQ two component system. 11th international conference on intelligent systems design and applications (ISDA 2011), Córdoba (Spain), pp. 1371-1376, 22–24 November 2011. PDF Icon
  • [1480] R.A. Carrasco, P. Villar, M.J. Hornos, E. Herrera-Viedma. A Linguistic Multi-Criteria Decision Making Model Applied to the Integration of Education Questionnaires. International Journal of Computational Intelligence Systems 4:5 (2011) 946-959. PDF Icon
  • [1482] J. Santamaría, O. Cordón, S. Damas, J.M. García-Torres, F. Navarro. A Study of the Suitability of Evolutionary Computation in 3D Modeling of Forensic Remain. XIV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2011), LNAI 7023, November 7-11 (2011), pp. 293-302. PDF Icon
  • [1483] E. Peis, J.M. Morales-del-Castillo, E. Herrera-Viedma. Tecnologías de Web semántica y recuperación de información. Recuperación de Información. Un enfoque práctico y multidisciplinar. Madrid: RA-MA, pp. 523-545, ISBN: 978-8499641126.
  • [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). PDF Icon
  • [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.
  • [1489] R. Pedraza. Tecnologías de la Web Semántica para la Representación de la Información: hacia una nueva dimensión de la Semántica Documental. PhD Dissertation, Department of Communication, Pompeu Fabra University.
    Advisor: E. Peis and L. Codina
  • [1490] F. Navarro. Superposición craneofacial para identificación humana. Un estudio en población mediterránea. PhD Dissertation, Department of Legal Medicine, Toxicology and Physical Anthropology, University of Granada.
    Advisor: M. C. Botella, I. Aleman and S. Damas
  • [1491] J.A. Morente, E.A. Navarro, J.A. Portí, A. Salinas, J.A. Morente-Molinera, S. Toledo-Redondo, W.J. O’Connor, B.P. Besser, H.I.M. Lichtenegger, J. Fornieles, and A. Méndez. A Late-Time Analysis Procedure for Extracting Weak Resonances. Application to the Schumann Resonances Obtained with the Tlm Method. Progress in Electromagnetics Research (PIER), vol. 117,pp. 1-18, 2011. doi: 10.2528/PIER11040405 PDF Icon
  • [1492] Morente-Chiquero, J. A.; Salinas-Extremera, A.; Portí-Durán, J.; Navarro-Camba, E. A.; J.A. Morente-Molinera; Fornieles-Callejón, J. F.; et al.. Una simulación numérica de los modos electromagnéticos VLF en la atmósfera de Titán con el método TLM. XXVI Simposium Nacional de la Unión Científica Internacional de Radio (URSI). PDF Icon
  • [1493] J.A. Morente-Molinera, J.M. Martín, C. Cano, M.Cuadros, A.Blanco. SNP Annotation from Next Generation Sequencing Data . 11th International Conference on Intelligent Systems Design and Applications (ISDA) November 22-24, 2011 - Córdoba, Spain.. PDF Icon
  • [1494] J.A. Morente-Molinera, C. Cano, M. Cuadros, J.M. Martin, A. Blanco. Detección de Mutaciones en TFBSs mediante tecnología difusa. . II Jornadas Andaluzas en Informática (JAI 2011) Canillas de Aceituno, Málaga.. PDF Icon
  • [1515] J. Sanz. Sistemas de clasificación basados en reglas difusas lingüísticas utilizando conjuntos difusos intervalo-valorados y ajuste de la ignorancia. PhD Dissertation, Department of Automatic and Computation, Public University of Navarra.
    Advisor: A. Fernandez, H. Bustince and F. Herrera
  • [1531] B. Esteban. Un Sistema de Recomendaciones Web para la Prevención y el Tratamiento de Lumbalgias. PhD Dissertation, Department of Morphological Sciences, Anthropology Laboratory, University of Granada.
    Advisor: M. Botella, E. Herrera-Viedma, M. Arroyo
  • [1597] H. M. Kammoun, I. Kallel, J. Casillas, A. M. Alimi. Improvement of the road traffic management by an ant-hierarchical fuzzy system. IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, Paris, France (2011).
  • [1598] M. González, J. Casillas, C. Morell. Dealing with three uncorrelated criteria by many-objective genetic fuzzy systems. IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems, Paris, France (2011).
  • [1599] F.J. Marín, J. Casillas, M. Mucientes, A.A. Transeth, S.A. Fjerdingen, I. Schjølberg. Learning intelligent controllers for path-following skills on snake-like robots. 4th Int. Conf. on Intelligent Robotics and Applications, Aachen, Germany (2011). S. Jeschke. H. Liu, D. Schilbert (Eds.), Proceedings of the 4th International Conference on Intelligent Robotics and Applications - Part II, LNAI 7102 (2011) 525-535.
  • [1602] F.J. Marín, J. Casillas, M. Mucientes, A.A. Transeth, S.A. Fjerdingen, I. Schjølberg. Aprendizaje de controladores difusos para seguimiento de trayectorias en robots multiarticulados. Proceedings of ROBOT 2011, Sevilla, Spain (2011) 397-403.
  • [1604] E. Serrano, J.A. Botia, J.M. Cadenas, A. Quirin, O. Cordón. Analysis by Pathfinder Networks, Improving the Clustering Approach. Chapter 5 of Advancing the state of the art in the analysis of multi-agent systems: Study and Development of Methods and Tools for Testing, Validation and Verification of Multi-Agent Systems, Lambert Academic Publishing, 2011, 61-90.
  • [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 PDF Icon
  • [1872] A. B. Porto-Pazos, N. Veiguela, P. Mesero, M. Navarrete, A. Alvarellos, O. Ibáñez, A. Pazos; A. Araque. Artificial astrocytes improve neural network performance. Plos One 19;6(4) (2011).
  • [1941] A. Martín Hernández, I. Cuco Peña, D. Giménez Pérez, C. Fernández Vicente, M. Arroyo Morales, J.A. Moral-Muñoz, J. Cuadrado Reyes, I. López de Abechuco Cuesta, F. Linari Melfi. Fichas de conocimiento de la prevención laboral activa a través de la evaluación de las condiciones del trabajador en función de la especificidad de la actividad diaria laboral en la industria agroalimentaria. Granada:AIFEMA, 2011. 293 p. ISBN 978-84-615-4464-6.
  • [1942] A. Martín Hernández, I. Cuco Peña, D. Giménez Pérez, C. Fernández Vicente, M. Arroyo Morales, J.A. Moral-Muñoz, J. Cuadrado Reyes, I. López de Abechuco Cuesta, F. Linari Melfi. Fichas de conocimiento de la prevención laboral activa a través de la evaluación de las condiciones del trabajador en función de la especificidad de la actividad diaria laboral en el sector agrario. Granada: AIFEMA, 2011. 325 p. ISBN 978-84-615-4463-9.
  • [1943] A. Martín Hernández, D. Giménez Pérez, M. Arroyo Morales, C. Fernández Vicente, J.A. Moral-Muñoz, R. Martín Hernández, J. Cuadrado Reyes, M. Linari Melfi, L. Souza Vera, L. Díaz Rodríguez, F. Linari M. Estudio ergonómico en trabajadores y trabajadoras de residencias privadas. Granada: UGT, 2011. 247 p. ISBN 978-84-615-5918-3.
  • [2244] L. Grasso, N. Medina, R. Montes, M. Abad. Homogenizing Access to Highly-Consuming Biomedical Applications throughout a Web-Based Interface. European Conference on Parallel Processing (Euro-Par), Lecture Notes in Computer Science (LNCS) 7156, Bordeaux (France), 33-42, August 29 – September 2, 2011. doi: 10.1007/978-3-642-29740-3 PDF Icon
  • [2287] R. Romero Zaliz, J. Arnedo, V Dueñas, P. Villar, M.J. del Jesús, J. Cortés, I. Zwir, C. del Val. Desarrollo de una página web para el aprendizaje interactivo del lenguaje de programación R. Congreso Internacional de Innovación Docente, Cartagena, Murcia, Región de Murcia, España, 2011.
  • [2293] J. Arnedo, R. Romero Zaliz, I. Zwir, C. del Val. A Multi-objective approach for the prediction of bacterial sRNAs. 19th Annual International Conference on Intelligent Systems For Molecular Biology and 10th European Conference on Computational Biology, Viena, Austria, 2011.


2010 (138)

  • [0759] O. Cordón, A. Quirin. Comparing Two Genetic Overproduce-and-choose Strategies for Fuzzy Rule-based Multiclassification Systems Generated by Bagging and Mutual Information-based Feature Selection. International Journal of Hybrid and Intelligent Systems 7:1 (2010) 45-64. PDF Icon
  • [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 PDF Icon BibTex Icon
  • [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 PDF Icon
  • [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 PDF Icon
  • [1042] F.J. Cabrerizo, J.M. Moreno, I.J. Pérez, E. Herrera-Viedma. Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks. Soft Computing 14:5 (2010) 451-463. doi: 10.1007/s00500-009-0453-x PDF Icon
  • [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 PDF Icon
  • [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 PDF Icon BibTex Icon
  • [1071] M. Mucientes, J. Alcalá-Fdez, R. Alcalá, J. Casillas. A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems. Expert Systems With Applications 37:2 (2010) 1471–1493. doi: 10.1016/j.eswa.2009.06.095
  • [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.
  • [1074] J.M. Moreno, J.M. Morales del Castillo, C. Porcel, E. Herrera-Viedma. A Quality Evaluation Methodology for Health-related Websites Based on a 2-tuple Fuzzy Linguistic Approach. Soft Computing, 14:8 (2010) 887-897. doi: 10.1007/s00500-009-0472-7 PDF Icon
  • [1080] C. Porcel, E. Herrera-Viedma. Dealing with Incomplete Information in a Fuzzy Linguistic Recommender System to Disseminate Information in University Digital Libraries. Knowledge-Based Systems 23 (2010) 32-39. doi: 10.1016/j.knosys.2009.07.007 PDF Icon
  • [1081] M. Lozano, C. García-Martínez. Hybrid Metaheuristics with Evolutionary Algorithms Specializing in Intensification and Diversification: Overview and Progress Report. Computers & Operations Research 37:3 (2010) 481-497. PDF Icon
  • [1082] C. García-Martínez, M. Lozano. Evaluating a Local Genetic Algorithm as Context-Independent Local Search Operator for Metaheuristics. Soft Computing 14:10 (2010) 1117-1139. doi: 10.1007/s00500-009-0506-1 PDF Icon
  • [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 PDF Icon
  • [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 PDF Icon
  • [1103] E. Serrano, A. Quirin, J. Botia, O. Cordón. Debugging complex software systems by means of pathfinder networks. Information Sciences 180:5 (2010) 561-583. PDF Icon
  • [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 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc

  • [1111] I.J. Pérez, S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma. A Mobile Linguistic Decision Support System to Help Users in their E-Commerce Activities. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 575-580, 3-5 February 2010. PDF Icon
  • [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 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc

  • [1113] F.J. Cabrerizo, I.J. Pérez, E. Herrera-Viedma. Managing the Consensus in Group Decision Making in an Unbalanced Fuzzy Linguistic Context with Incomplete Information. Knowledge-Based Systems 23:2 (2010) 169-181. doi: 10.1016/j.knosys.2009.11.019 PDF Icon
  • [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 PDF Icon
  • [1235] A.G. López-Herrera, S. Alonso, F.J. Cabrerizo, C. Porcel, M.J. Cobo, E. Herrera-Viedma. Using a Visual Tool to Guide Students in the Complex Process of Learning Fuzzy Weighted Information Retrieval Systems. International Technology, Education and Development Conference 2010 (INTED 2010), Valencia (Spain), 361-370, 8-10 March 2010. PDF Icon
  • [1165] O. Ibáñez, O. Cordón, S. Damas, J. Santamaría. Uso de Marcadores Difusos para Solucionar el Problema de la Coplanaridad en la Calibración de la Cámara en 3D. Aplicación en Identificación Forense por Superposición Craneofacial. En actas de XV Congreso español sobre tecnologías y lógica fuzzy (ESTYLF 2010), 3-5 Febrero, Huelva (España), 501-506, 2010. PDF Icon
  • [1170] C. del Val, O. Pelz, K.H. Glatting, E. Barta and A. Hotz-Wagenblatt. PromoterSweep: a tool for identification of transcription factor binding sites. Theoretical Chemical Accounts 125 (2010) 583-591. doi: 10.1007/s00214-009-0643-8 PDF Icon
  • [1171] J. Soza-Ried, A.Hotz-Wagenblatt, KH. Glatting, C. del Val, K. Fellenberg, H. Bode, U. Frank, J. Hoheisel, M. Frohme. The transcriptome of the colonial marine hydroid Hydractinia echinata. FEBS Journal FEBS J. 2010 Jan;277(1):197-209. PDF Icon
  • [1172] R. Romero Zaliz, C. Rubio-Escudero, I. Zwir, C. del Val. Optimization of Multi-classifiers for Computational Biology: Application to gene finding and gene expression. Theoretical Chemical Accounts, 125(3-6), 599-611. doi: 10.1007/s00214-009-0648-3 PDF Icon
  • [1173] S. Kogenaru, C. del Val, A. Hotz-Wagenblatt, K-H Glatting. TissueDistributionDBs: a repository of organism-specific tissue-distribution profiles. Theoretical Chemical Accounts. doi: 10.1007/s00214-009-0670-5 PDF Icon
  • [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.
  • [1193] J.L. Aznarte M., M.C. Medeiros, J.M. Benítez. Linearity testing against a fuzzy rule-based model. Fuzzy Sets and Systems Volume 161, Issue 13, 1 July 2010, Pages 1836-1851. doi: 10.1016/j.fss.2010.01.00 PDF Icon
  • [1217] J.M. Morales-del-Castillo, E. Peis, E. Herrera-Viedma. A Filtering And Recommender System For E-Scholars. International Journal Of Technology Of Enhanced Learning 2:3 (2010) 227-240. PDF Icon
  • [1200] I.J. Pérez, F.J. Cabrerizo, E. Herrera-Viedma. A Mobile Decision Support System for Dynamic Group Decision Making Problems. IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans 40:6 (2010) 1244-1256. doi: 10.1109/TSMCA.2010.2046732 PDF Icon
  • [1201] F.J. Cabrerizo, J. López-Gijón, A.A. Ruíz-Rodríguez, E. Herrera-Viedma. A Model Based on Fuzzy Linguistic Information to Evaluate the Quality of Digital Libraries. International Journal of Information Technology & Decision Making 9:3 (2010) 455-472. doi: 10.1142/S0219622010003907 PDF Icon
  • [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 PDF Icon
    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. PDF Icon
  • [1223] F.J. Cabrerizo, R. Heradio, I.J. Pérez, E. Herrera-Viedma. A Selection Process Based on Additive Consistency to Deal with Incomplete Fuzzy Linguistic Information. Journal of Universal Computer Science 16:1 (2010) 62-81. doi: 10.3217/jucs-016-01-0062 PDF Icon
  • [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 PDF Icon
    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 PDF Icon
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