Publications Listing

Filter Publications:

Initials + surname. For example, to filter the publications
of Francisco Herrera, just input F. Herrera.
List of words to look at in the journal name and / or title.

Papers published in Journals (F. Herrera)

Number of Results: 471

Jump to Year: In Press, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992

Jump to Graph



In Press (6)


2023 (8)

  • [2975] C. Zuheros, E. Martinez-Camara, E. Herrera-Viedma, F. Herrera. Crowd Decision Making: Sparse Representation guided by Sentiment Analysis for leveraging the Wisdom of the Crowd. IEEE Transactions on Systems, Man and Cybernetics:Systems, Volume 53, Issue: 1, Pages 369-379, 2022. Accepted.. doi: 10.1109/TSMC.2022.3180938
  • [2989] J. Deng, J. Zhan, E. Herrera-Viedma, F. Herrera. Regret theory-based three-way decision method on incomplete multi-scale decision information systems with interval fuzzy numbers. IEEE Transactions on Fuzzy Systems, vol. 31, no. 3, pp. 982-996, March 2023. doi: 10.1109/TFUZZ.2022.3193453
  • [3014] J. Poyatos, D. Molina, A. D. Martínez, J. Del Ser, F. Herrera. EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks. Neural Networks, 158 (2023) 59-82. doi: 10.1016/j.neunet.2022.10.011 PDF Icon BibTex Icon
  • [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
  • [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


2022 (4)

  • [2939] S. Maldonado, C. Vairetti, A. Fernandez, F. Herrera. FW-SMOTE: a feature-weighted oversampling approach for imbalanced classification. Pattern Recognition, 124, 108511:1-16 (2022). doi: 10.1016/j.patcog.2021.108511 PDF Icon
  • [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
  • [3076] J. Luengo, R. Moreno, I. Sevillano-García, D. Charte, A. Peláez-Vegas, M. Fernández-Moreno, P. Mesejo, F. Herrera. A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges. Information Fusion 78, 232-253. doi: 10.1016/j.inffus.2021.09.018


2021 (15)

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


2020 (6)

  • [2736] A. B. Arrieta, N. Díaz-Rodríguez, J. Del Ser, A. Bennetot, S. Tabik, A. Barbado, S. García, S. Gil-Robles, D. Molina, R. Benjamins, R. Chatila, F. Herrera. Explainable ArtificialIntelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58 (2020) 82-115. doi: 10.1016/j.inffus.2019.12.012 PDF Icon BibTex Icon
  • [2745] R-X. Ding, I. Palomares, X. Wang, G-R. Yang, B. Liu, Y. Dong, E. Herrera-Viedma, F. Herrera. Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective. Information Fusion 59 (2020) 84-102. doi: 10.1016/j.inffus.2020.01.006
  • [2790] J. Maillo, S. García, J. Luengo, F. Herrera, I. Triguero. Fast and Scalable Approaches to Accelerate the Fuzzy k Nearest Neighbors Classifier for Big Data. IEEE Transactions on Fuzzy Systems 28(5): 874-886 (2020). doi: 10.1109/TFUZZ.2019.2936356
  • [2847] D. Molina, J. Poyatos, J.D. Del Ser, S. García, A. Hussain, F. Herrera. Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations. Cognitive Computation 12:5 (2020) 897-939. doi: 10.1007/s12559-020-09730-8 PDF Icon BibTex Icon
  • [3083] J. A. Cortés-Ibáñez, S. González, J. J. Valle-Alonso, J. Luengo, S. García, F. Herrera. Preprocessing methodology for time series: An industrial world application case study. Inf. Sci. 514: 385-401 (2020). doi: j.ins.2019.11.027
  • [3084] S. Tabik, A. Gómez-Ríos, J. L. Martín-Rodríguez, I. Sevillano-García, M. Rey-Area, D. Charte, E. Guirado, J.-L. Suárez, J. Luengo, M. A. Valero-González, P. García-Villanova, E. Olmedo-Sánchez, F. Herrera. COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images. IEEE Journal of Biomedical and Health Informatics 24(12): 3595-3605 (2020). doi: 10.1109/JBHI.2020.3037127


2019 (20)


2018 (41)


2017 (28)


2016 (25)


2015 (34)


2014 (34)


2013 (15)


2012 (28)


2011 (19)


2010 (24)


2009 (26)


2008 (14)


2007 (13)


2006 (3)


2005 (8)


2004 (7)


2003 (9)


2002 (9)

  • [0012] O. Cordón, I. Fernández de Viana, F. Herrera. Analysis of the Best-Worst Ant System and its Variants on the TSP. Mathware and Soft Computing 9:2-3 (2002) 177-192. PDF Icon
  • [0016] E. Herrera-Viedma, F. Herrera, F. Chiclana. A Consensus Model for Multiperson Decision Making with Different Preference Structures. IEEE Transactions on Systems, Man and Cybernetics. Part A: Systems and Man 32:3 (2002) 394-402. doi: 10.1109/TSMCA.2002.802821 PDF Icon
  • [0023] J. Casillas, O. Cordón, F. Herrera. COR: A Methodology to Improve Ad Hoc Data-Driven Linguistic Rule Learning Methods by Inducing Cooperation Among Rules. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics 32:4 (2002) 526-537. doi: 10.1109/TSMCB.2002.1018771 PDF Icon
  • [0024] M. Delgado, F. Herrera, E. Herrera-Viedma, M.J. Martin-Bautista, L. Martinez, M.A. Vila. A Communication Model Based on the 2-tuple Fuzzy Linguistic Representation for a Distributed Intelligent Agent System on Internet. Soft Computing 6:5 (2002) 320-328. doi: 10.1007/s00500-002-0185-7 PDF Icon
  • [0025] O. Cordón, F. Herrera, I. Zwir. Linguistic Modeling by Hierarchical Systems of Linguistic Rules. IEEE Transactions on Fuzzy Systems 10:1 (2002) 2-20. doi: 10.1109/91.983275 PDF Icon
  • [0026] F. Herrera, E. López, M.A. Rodríguez. A Linguistic Decision Model for Promotion Mix Management Solved with Genetic Algorithms. Fuzzy Sets and Systems 131:1 (2002) 47-61. doi: 10.1016/S0165-0114(01)00254-8 PDF Icon
  • [0027] O. Cordón, F. Herrera, T. Stützle. A Review of the Ant Colony Optimization Metaheuristic: Basis, Models and New Trends. Mathware and Soft Computing 9:2-3 (2002) 141-175. PDF Icon
  • [0031] F. Chiclana, F. Herrera, E. Herrera-Viedma. A Note on the Internal Consistency of Various Preference Representations. Fuzzy Sets and Systems 131:1 (2002) 75-78. doi: 10.1016/S0165-0114(01)00256-1 PDF Icon
  • [0178] J.R. Cano, O. Cordón, F. Herrera, L. Sánchez. A Greedy Randomized Adaptive Search Procedure Applied to the Clustering Problem as an Initialization Process Using K-Means as a Local Search Procedure. International Journal of Intelligent and Fuzzy Systems 12 (2002) 235-242. PDF Icon


2001 (14)

  • [0017] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Building Fuzzy Graphs: Features and Taxonomy of Learning Non-Grid-Oriented Fuzzy Rule-Based Systems. International Journal of Intelligent Fuzzy Systems, 11 (2001) 99-119. PDF Icon
  • [0019] R. Alcalá, J. Casillas, J.L. Castro, A. Gonzalez, F. Herrera. A Multicriteria Genetic Tuning for Fuzzy Logic Controllers. Mathware and Soft Computing, Vol. 8:2 (2001) 179-201. PDF Icon
  • [0020] F. Herrera, L. Martínez. The 2-tuple Linguistic Computational Model. Advantages of its linguistic description, accuracy and consistency. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9:suppl. (Sept. 2001) 33-48. PDF Icon
  • [0021] O. Cordón, F. Herrera, P. Villar. Generating the Knowledge Base of a Fuzzy Rule-Based System by the Genetic Learning of Data Base. IEEE Transactions on Fuzzy Systems 9:4 (2001) 667-674. PDF Icon
  • [0032] J. Casillas, O. Cordón, F. Herrera, M.J. Del Jesus. Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process for High-Dimensional Problems. Information Sciences 136:1-4 (2001) 135-157. PDF Icon
  • [0033] F. Herrera, M. Lozano. Adaptative Genetic Operators Based on Coevolution with Fuzzy Behaviors. IEEE Transactions on Evolutionary Computation 5:2 (2001) 149-165. PDF Icon
  • [0035] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Improvement to the Cooperative Rules Methodology by Using the Ant Colony System Algorithm. Mathware and Soft Computing Vol 8:3 (2001) 321-335. PDF Icon
  • [0036] O. Cordón, F. Herrera, L. Magdalena, P. Villar. A Genetic Learning Process for the Scaling Factors, Granularity and Contexts of the Fuzzy Rule-Based System Data Base. Information Science 136 (2001) 85-107. PDF Icon
  • [0039] O. Cordón, F. Herrera, I. Zwir. Fuzzy Modeling by Hierarchically Built Fuzzy Rule Bases. International Journal of Approximate Reasoning 27 (2001) 61-93. PDF Icon
  • [0040] F. Chiclana, F. Herrera, E. Herrera-Viedma. Integrating Multiplicative Preference Relations in a Multipurpose Decision Making Model Based on Fuzzy Preference Relations. Fuzzy Sets and Systems 122 (2001), 277-291. PDF Icon
  • [0041] F. Herrera, L. Martínez. A model based on linguistic 2-tuples for dealing with multigranularity hierarchical linguistic contexts in Multiexpert Decision-Making. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics 31:2 (2001) 227-234. PDF Icon
  • [0042] F. Chiclana, F. Herrera, E. Herrera-Viedma. Multiperson Decision Making Based on Multiplicative Preference Relations. European Journal of Operational Research 129 (2001) 372-385. PDF Icon
  • [0043] O. Cordón, F. Herrera. Hybridizing Genetic Algorithms with Sharing Scheme and Evolution Strategies for Designing Approximate Fuzzy Rule-Based Systems. Fuzzy Sets and Systems 118:2 (2001) 235-255. PDF Icon
  • [0044] F. Herrera, E. López, C. Mendaña, M.A. Rodríguez. A Linguistic Decision Model for Personnel Management Solved with a Linguistic Biobjetictive Genetic Algorithm. Fuzzy Sets and Systems 118:1 (2001) 47-64. PDF Icon


2000 (10)

  • [0046] F. Herrera, L. Martínez. A 2-tuple Fuzzy Linguistic Representation Model for Computing with Words. IEEE Transactions on Fuzzy Systems 8:6 (2000) 746-752. PDF Icon
  • [0047] F. Herrera, L. Martínez. An Approach for Combining Numerical and Linguistic Information based on the 2-tuple fuzzy linguistic representation model in Decision Making. International Journal of Uncertainty , Fuzziness and Knowledge -Based Systems 8:5 (2000) 539-562. PDF Icon
  • [0048] F. Herrera, M. Lozano. Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes. Applied Intelligence 13:3 (2000) 187-204. PDF Icon
  • [0049] O. Cordón, F. Herrera, P. Villar. Analysis and Guidelines to Obtain a Good Fuzzy Partition Granularity for Fuzzy Rule-Based Systems using Simulated Annealing. International Journal of Approximate Reasoning 25:3 (2000) 187-215. PDF Icon
  • [0050] O. Cordón, F. Herrera. A Proposal for Improving the Accuracy of Linguistic Modeling. IEEE Transactions on Fuzzy Systems 8:3 (2000) 335-344. PDF Icon
  • [0051] F. Herrera, M. Lozano. Gradual Distributed Real-Coded Genetic Algorithms. IEEE Transactions on Evolutionary Computation 4:1 (2000) 43-63. PDF Icon
  • [0052] F. Herrera, E. Herrera-Viedma. Choice Functions and Mechanisms for Linguistic Preference Relations. European Journal of Operational Research 120 (2000) 144-161. PDF Icon
  • [0053] F. Herrera, E. Herrera-Viedma, L. Martinez. A Fusion Approach for Managing Multi-Granularity Linguistic Term Sets in Decision Making. Fuzzy Sets and Systems 114 (2000) 43-58. PDF Icon
  • [0054] O. Cordón, F. Herrera, A. Peregrín. Searching for Basic Properties Obtaining Robust Implication Operators in Fuzzy Control. Fuzzy Sets and Systems 111:2 (2000) 237-251. PDF Icon
  • [0055] F. Herrera, E. Herrera-Viedma. Linguistic Decision Analysis: Steps for Solving Decision Problems under Linguistic Information. Fuzzy Sets and Systems 115 (2000) 67-82. PDF Icon


1999 (7)

  • [0056] O. Cordón, F. Herrera. A Two-Stage Evolutionary Process for Designing TSK Fuzzy Rule-Based Systems. IEEE Transactions on Systems, Man,and Cybernetics. Part B: Cybernetics Vol. 29:6 (December 1999) 703-715. PDF Icon
  • [0057] O. Cordón, F. Herrera, A. Peregrín. A Practical Study on the Implementation of Fuzzy Logic Controllers. The International Journal of Intelligent Control and Systems 3 (1999) 49-91. PDF Icon
  • [0058] F. Herrera, M. Lozano, C. Moraga. Hierarchical Distributed Genetic Algorithms. International Journal of Intelligent Systems 14:11 (1999) 1099-1121. PDF Icon
  • [0059] O. Cordón, M. J. del Jesus, F. Herrera, M. Lozano. MOGUL: A Methodology to Obtain Genetic fuzzy rule-based systems Under the iterative rule Learning approach. International Journal of Intelligent Systems Vol. 14:11 (1999) 1123-1153. PDF Icon
  • [0060] F. Herrera, E. López, C. Mendaña, M.A. Rodríguez. Solving an Assignment-Selection Problem Under Linguistic Valuations with Genetic Algorithms. European Journal of Operational Research 119:2 (1999) 326-337. PDF Icon
  • [0061] O. Cordón, M.J. del Jesus, F. Herrera. A Proposal on Reasoning Methods in Fuzzy Rule-Based Classification Systems. International Journal of Approximate Reasoning Vol. 20 (1999), 21-45. PDF Icon
  • [0062] O. Cordón, F. Herrera, L. Sánchez. Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques. Applied Intelligence 10 (1999) 5-24. PDF Icon


1998 (8)

  • [0063] O. Cordón, M.J. del Jesus, F. Herrera. Analyzing the Reasoning Mechanisms in Fuzzy Rule-Based Classification Systems. Mathware and Soft Computing. Vol. 5: 2-3 (1998), 321-332. PDF Icon
  • [0064] O. Cordón, M.J. del Jesus, F. Herrera. Genetic Learning of Fuzzy Rule-Based Classification Systems Cooperating with Fuzzy Reasoning Methods. International Journal of Intelligent Systems 13:10-11 (1998) 1025-1053. PDF Icon
  • [0065] F. Herrera, M. Lozano, J.L. Verdegay. A Learning Process for Fuzzy Control Rules using Genetic Algorithms. Fuzzy Sets and Systems 100 (1998) 143-158. PDF Icon
  • [0066] M. Delgado, F. Herrera, E. Herrera-Viedma, L. Martinez. Combining Numerical and Linguistic Information in Group Decision Making. Information Sciences 107 (1998) 177-194. PDF Icon
  • [0067] F. Herrera, M. Lozano, J.L. Verdegay. Tackling Real-Coded Genetic Algorithms: Operators and tools for the Behaviour Analysis. Artificial Intelligence Review 12 (1998) 265-319. PDF Icon
  • [0068] F. Chiclana, F. Herrera, E. Herrera-Viedma. Integrating Three Representation Models in Fuzzy Multipurpose Decision Making Based on Fuzzy Preference Relations. Fuzzy Sets and Systems 97 (1998) 33-48. PDF Icon
  • [0069] O. Cordón, M.J. del Jesus, F. Herrera, M. Lozano. Modelado Cualitativo Utilizando una Metodología Evolutiva de Aprendizaje Iterativo de Bases de Reglas Difusas. Revista Iberoamericana de la Asociación Española para la Inteligencia Artificial. Num. 5 (1998), 56-61. PDF Icon
  • [0070] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Choice Processes for Non-Homogeneous Group Decision Making in Linguistic Setting. Fuzzy Sets and Systems. Vol. 94 (1998) 287-308.


1997 (9)

  • [0071] F. Herrera, E. Herrera-Viedma. Aggregation Operators for Linguistic Weighted Information. IEEE Transactions on Systems, Man and Cybernetics. 27 (1997) 646-656. PDF Icon
  • [0072] O. Cordón, F. Herrera. A Three-Stage Evolutionary Process for Learning Descriptive and Approximative Fuzzy Logic Controller Knowledge Bases from Examples. International Journal of Approximate Reasoning 17:4 (1997) 369-407. PDF Icon
  • [0073] A. Gonzalez, F. Herrera. Multi-Stage Genetic Fuzzy Systems Based on the Iterative Rule Learning Approach. Mathware and Soft Computing 4:3 (1997) 233-249. PDF Icon
  • [0074] F. Herrera, J.L. Verdegay. Fuzzy Sets and Operations Research. Perspectives. Fuzzy Sets and Systems 90:2 (1997) 207-218. PDF Icon
  • [0075] F. Herrera, M. Lozano, J.L. Verdegay. Fuzzy Connectives Based Crossover Operators to Model Genetic Algorithms Population Diversity. Fuzzy Sets and Systems. Vol. 92-1 (1997) 21-30. PDF Icon
  • [0076] F. Herrera, L. Magdalena. Genetic Fuzzy Systems. Tatra Mountains Mathematical Publications Vol. 13, 1997, 93-121. R. Mesiar,B. Riecan(Eds.) Fuzzy Structures. Current Trends. L. N. Tutorial: Genetic Fuzzy Systems.7th IFSA World Congress,Prage,June 97.
  • [0077] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Linguistic Measures Based on Fuzzy Coincidence for Reaching Consensus in Group Decision Making. International Journal of Approximate Reasoning 16 (1997), 309-334. PDF Icon
  • [0078] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. A Rational Consensus Model in Group Decision Making using Linguistic Assessments. Fuzzy Sets and Systems Vol. 88:1 (1997), 31-49. PDF Icon
  • [0079] O. Cordón, F. Herrera, A. Peregrín. Applicability of the Fuzzy Operators in the Design of Fuzzy Logic Controllers. Fuzzy Sets and Systems Vol. 86:1 (1997), 15-41. PDF Icon


1996 (8)

  • [0080] F. Herrera, M. Lozano, J.L. Verdegay. Dynamic and Heuristic Fuzzy Connectives-Based Crossover Operators for Controlling the Diversity and Convengence of Real Coded Genetic Algorithms. Int. Journal of Intelligent Systems Vol. 11 (1996) 1013-1041.
  • [0081] F. Herrera, J.L. Verdegay. Fuzzy Control Rules in Optimization. International Journal of Science & Technology: Scientia Iranica. Vol. 3. no. 1,2,3 (1996) 89-96.
  • [0082] O. Cordón, F. Herrera, E. Herrera-Viedma, M. Lozano. Genetic Algorithms and Fuzzy Logic in Control Processes. Archives of Control Sciences. Vol. 5 (1996) 135-168. PDF Icon
  • [0083] F. Chiclana, F. Herrera, E. Herrera-Viedma, M.C. Poyatos. A classification method of alternatives for multiple preference ordering criteria based on fuzzy majority. The Journal of Fuzzy Mathematics 4 (1996) 801-813. PDF Icon
  • [0084] F. Herrera, J.L. Verdegay. Fuzzy Boolean Programming Problems with Fuzzy Cost: A general study. Fuzzy Sets and Systems Vol. 81 (1996) 57-76. PDF Icon
  • [0085] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Direct Approach Processes in Group Decision Making using Linguistic OWA operators. Fuzzy Sets and Systems 79 (1996) 175-190. PDF Icon
  • [0086] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. A model of consensus in group decision making under linguistic assessments. Fuzzy Sets and Systems 78 (1996) 73-87. PDF Icon
  • [0087] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. A Linguistic Decision Process in Group Decision Making. Group Decision and Negotiation. 5 (1996) 165-176. PDF Icon


1995 (8)

  • [0088] F. Herrera, M. Lozano, J.L. Verdegay. The Use of Fuzzy Connectives to Design real-Coded Genetic Algorithms. Mathware and Soft Computing. Vo. 1:3 (1995) 239-251. PDF Icon
  • [0089] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Preference Degrees over Linguistic Preference Relations in Decision Making. Operational Research and Decisions 3 (1995) 37-48. PDF Icon
  • [0090] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. A Sequential Selection Process in Group Decision Making with a Linguistic Assessment Approach. Information Science 85 (1995) 223-239. PDF Icon
  • [0091] F. Herrera, J.L. Verdegay. Three Models of Fuzzy Integer Linear Programming. European Journal of Operational Research 83 (1995) 581-593. PDF Icon
  • [0092] F. Herrera, M. Lozano, J.L. Verdegay. Tuning Fuzzy Logic Controllers by Genetic Algorithms. International Journal of Approximate Reasoning 12 (1995) 299-315. doi: 10.1016/0888-613X(94)00033-Y PDF Icon
  • [0093] F. Herrera, M. Lozano, J.L. Verdegay. Algoritmos Geneticos: Fundamentos, Extensiones y Aplicaciones. ARBOR CLII 597 (1995) 9-40.
  • [0094] F. Herrera, M. Lozano, J.L. Verdegay. Algoritmos Geneticos con Parametros Reales. NOVATICA, May/jun 115 (1995) 36-41.
  • [0095] E. Cárdenas, J.C. Castillo, O. Cordón, F. Herrera, A. Peregrín. Applicability of T-Norms in Fuzzy Control. BUSEFAL 61 (1995) 28-36. PDF Icon


1994 (5)

  • [0096] F. Herrera, M. Lozano, J.L. Verdegay. Applying Genetic Algorithms in Fuzzy Optimization Problems. Fuzzy Systems and A.I.-Reports and Letters 3 (1994) 39-52. PDF Icon
  • [0097] F. Herrera, J.L. Verdegay. Fuzzy Almost Integer Variables in Integer Programming Problems. The Journal of Fuzzy Mathematics 2:2 (1994) 259-270.
  • [0098] F. Herrera, M. Kovacs, J.L. Verdegay. Homogeneous Linear Fuzzy Functions and Ranking Methods in Fuzzy Linear Programming Problems. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems 2:1 (1994) 25-35. PDF Icon
  • [0099] E. Cárdenas, J.C. Castillo, O. Cordón, F. Herrera, A. Peregrín. Influence of Fuzzy Implication Functions and Defuzzification Methods in Fuzzy Control. BUSEFAL 57 (1994) 69-79. PDF Icon
  • [0100] J.L. Castro, F. Herrera, J.L. Verdegay. Knowledge based systems and Fuzzy Boolean Programming. International Journal on Intelligent Systems 9:2 (1994) 211-225. doi: 10.1002/int.4550090203


1993 (4)

  • [0101] F. Herrera, M. Kovacs, J.L. Verdegay. A Parametric Approach for (G,P)-Fuzzified Linnear Programming Problems. The Journal of Fuzzy Mathematics 1:3 (1993) 699-713.
  • [0102] F. Herrera, J.L. Verdegay, H.-J. Zimmermann. Boolean Programming Problems with Fuzzy Constraints. Fuzzy Systems and Systems 55:3 (1993) 285-293. PDF Icon
  • [0103] F. Herrera, M. Kovacs, J.L. Verdegay. Optimality for Fuzzified Mathematical Programming Problems: A Parametric Approach. Fuzzy Systems and Systems 54:3 (1993) 279-285. PDF Icon
  • [0104] M. Delgado, F. Herrera, J.L. Verdegay, A. Vila. Post-optimality Analysis on the Membership Functions of a Fuzzy Linear Programming Problem. Fuzzy Systems and Systems 53:3 (1993) 289-297. PDF Icon


1992 (2)

  • [0105] F. Herrera, M. Kovacs, J.L. Verdegay. An Optimum Concept for Fuzzified Linear Programming Problems: A Parametric Approach. Tatra Mountains Mathematical Publications 1 (1992) 57-64. PDF Icon
  • [0106] M. Delgado, F. Herrera, J.L. Verdegay, M.A. Vila. Fuzzy Linear Programming Problems with Nonlinear Membership. Fuzzy Systems and A.I. Reports and Letters 1:1 (1992) 33-49.