| Applicability of the fuzzy operators in the design of fuzzy logic controllers O Cordón, F Herrera, A Peregrín Fuzzy sets and systems 86 (1), 15-41, 1997 | 236 | 1997 |
| Efficient distributed genetic algorithm for rule extraction M Rodríguez, DM Escalante, A Peregrín Applied soft computing 11 (1), 733-743, 2011 | 73 | 2011 |
| Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems J Alcalá‐Fdez, F Herrera, F Márquez, A Peregrín International Journal of Intelligent Systems 22 (9), 1035-1064, 2007 | 70 | 2007 |
| Cooperative evolutionary learning of linguistic fuzzy rules and parametric aggregation connectors for Mamdani fuzzy systems FA Márquez, A Peregrín, F Herrera IEEE Transactions on Fuzzy Systems 15 (6), 1162-1178, 2007 | 60 | 2007 |
| Stability analysis and synthesis of multivariable fuzzy systems using interval arithmetic JM Andújar, JM Bravo, A Peregrın Fuzzy Sets and Systems 148 (3), 337-353, 2004 | 55 | 2004 |
| Searching for basic properties obtaining robust implication operators in fuzzy control O Cordón, F Herrera, A Peregrın Fuzzy sets and systems 111 (2), 237-251, 2000 | 47 | 2000 |
| A multi-objective evolutionary algorithm with an interpretability improvement mechanism for linguistic fuzzy systems with adaptive defuzzification AA Márquez, FA Márquez, A Peregrín International Conference on Fuzzy Systems, 1-7, 2010 | 43 | 2010 |
| A study on the evolutionary adaptive defuzzification methods in fuzzy modeling O Cordón, F Herrera, FA Márquez, A Peregrín International Journal of Hybrid Intelligent Systems 1 (1-2), 36-48, 2004 | 37 | 2004 |
| A practical study on the implementation of fuzzy logic controllers O Cordón, F Herrera, A Peregrín The International Journal of Intelligent Control and Systems 3 (3), 49-91, 1999 | 21 | 1999 |
| A Mechanism to Improve the Interpretability of Linguistic Fuzzy Systems with Adaptive Defuzzification based on the use of a Multi-objective Evolutionary Algorithm AA Márquez, FA Márquez, A Peregrín International Journal of Computational Intelligence Systems 5 (2), 297-321, 2012 | 19 | 2012 |
| Rule base and adaptive fuzzy operators cooperative learning of Mamdani fuzzy systems with multi-objective genetic algorithms AA Márquez, FA Márquez, A Peregrín Evolutionary Intelligence 2, 39-51, 2009 | 18 | 2009 |
| An efficient adaptive fuzzy inference system for complex and high dimensional regression problems in linguistic fuzzy modelling AA Márquez, FA Márquez, AM Roldán, A Peregrín Knowledge-Based Systems 54, 42-52, 2013 | 17 | 2013 |
| Integrating local environmental data and information from non-driven citizen science to estimate jellyfish abundance in Costa del Sol (southern Spain) JC Gutiérrez-Estrada, I Pulido-Calvo, A Peregrín, A García-Gálvez, ... Estuarine, Coastal and Shelf Science 249, 107112, 2021 | 16 | 2021 |
| Evolutionary design of linguistic fuzzy regression systems with adaptive defuzzification in big data environments S López, AA Márquez, FA Márquez, A Peregrín Cognitive Computation 11, 388-399, 2019 | 16 | 2019 |
| A scalable evolutionary linguistic fuzzy system with adaptive defuzzification in big data AA Márquez, FA Márquez, A Peregrín 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017 | 15 | 2017 |
| Influence of fuzzy implication functions and defuzzification methods in fuzzy control E Cárdenas, JC Castillo, O Cordón, F Herrera, A Peregrín Busefal 57, 69-79, 1994 | 15 | 1994 |
| T-norms vs. implication functions as implication operators in fuzzy control O Cordon, F Herrera, A Peregrin Proc. 6th IFSA Congr, 501-504, 1995 | 14 | 1995 |
| Fish abundance estimation with imaging sonar in semi-intensive aquaculture ponds JC Gutiérrez-Estrada, I Pulido-Calvo, J Castro-Gutiérrez, A Peregrín, ... Aquacultural Engineering 97, 102235, 2022 | 13 | 2022 |
| Cooperation between the inference system and the rule base by using multiobjective genetic algorithms A Márquez, FA Márquez, A Peregrín Hybrid Artificial Intelligence Systems: Third International Workshop, HAIS …, 2008 | 12 | 2008 |
| Looking for the best defuzzification method features for each implication operator to design accurate fuzzy models O Cordón, F Herrera, A Peregrín Department of Computer Science and Artificial Intelligent, Spain, 1999 | 11 | 1999 |
