MARÍA JOSÉ
GACTO COLORADO
PROFESORA TITULAR DE UNIVERSIDAD
FRANCISCO
HERRERA TRIGUERO
CATEDRÁTICO DE UNIVERSIDAD
Publicaciones en las que colabora con FRANCISCO HERRERA TRIGUERO (29)
2014
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METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems
Information Sciences, Vol. 276, pp. 63-79
2013
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Obtaining accurate TSK fuzzy rule-based systems by multi-objective evolutionary learning in high-dimensional regression problems
IEEE International Conference on Fuzzy Systems
2012
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A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems
Applied Intelligence, Vol. 36, Núm. 2, pp. 330-347
2011
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A double axis classification of interpretability measures for Linguistic Fuzzy Rule-Based Systems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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A fast and scalable multiobjective genetic fuzzy system for linguistic fuzzy modeling in high-dimensional regression problems
IEEE Transactions on Fuzzy Systems, Vol. 19, Núm. 4, pp. 666-681
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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
IEEE SSCI 2011: Symposium Series on Computational Intelligence - GEFS 2011: 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems
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Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
Information Sciences, Vol. 181, Núm. 20, pp. 4340-4360
2010
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Analysis of the performance of a semantic interpretability-based tuning and rule selection of fuzzy rule-based systems by means of a multi-objective evolutionary algorithm
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Indice de Interpretabilidad Semántica para el Ajuste de Sistemas Basados en Reglas Difusas y Selección de Reglas Mediante un Algoritmo Evolutivo Multi-Objetivo
XV Congreso Español sobre Tecnologías y Lógica Fuzzy ESTYLF 2010: Huelva [Recurso electrónico]
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Integration of an index to preserve the semantic interpretability in the multiobjective evolutionary rule selection and tuning of linguistic fuzzy systems
IEEE Transactions on Fuzzy Systems, Vol. 18, Núm. 3, pp. 515-531
2009
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A Multi-objective Evolutionary Algorithm for Tuning Fuzzy Rule-Based Systems with Measures for Preserving Interpretability
PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE
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A multi-objective evolutionary algorithm for tuning fuzzy rule-based systems with measures for preserving interpretability
2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings
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Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems
Soft Computing, Vol. 13, Núm. 5, pp. 419-436
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Handling high-dimensional regression problems by means of an efficient multi-objective evolutionary algorithm
ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications
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Improving fuzzy logic controllers obtained by experts: A case study in HVAC systems
Applied Intelligence, Vol. 31, Núm. 1, pp. 15-30
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Improving fuzzy logic controllers obtained by experts: A case study in HVAC systems (Applied Intelligence (2009) 31 (15-30) DOI:10.1007/s10489-007-0107-6)
Applied Intelligence
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Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms
Fuzzy Sets and Systems, Vol. 160, Núm. 7, pp. 905-921
2008
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On the usefulness of MOEAs for getting compact FRBSs under parameter tuning and rule selection
Studies in Computational Intelligence, Vol. 98, pp. 91-107
2007
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A multi-objective evolutionary algorithm for rule selection and tuning on fuzzy rule-based systems
IEEE International Conference on Fuzzy Systems
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A multi-objective evolutionary algorithm for rule selection and tuning on fuzzy rule-based systems
2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4