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Antonio Peregrin
Antonio Peregrin
Associate Professor of Computer Science, University of Huelva
Dirección de correo verificada de dti.uhu.es
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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
2321997
Efficient distributed genetic algorithm for rule extraction
M Rodríguez, DM Escalante, A Peregrín
Applied soft computing 11 (1), 733-743, 2011
702011
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
672007
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
582007
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
572004
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
442000
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
432010
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
372004
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
201999
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
192012
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
182013
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
152019
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
151994
T-norms vs. implication functions as implication operators in fuzzy control
O Cordon, F Herrera, A Peregrin
Proc. 6th IFSA Congr, 501-504, 1995
141995
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
132021
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
132017
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
132008
Rule Base and Inference System Cooperative Learning of Mamdani Fuzzy Systems with Multiobjective Genetic Algorithms.
AA Márquez, FA Márquez, A Peregrín
IFSA/EUSFLAT Conf., 1045-1050, 2009
122009
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
112022
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
111999
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Artículos 1–20