Publicaciones en las que colabora con Francisco Herrera Triguero (35)

2014

  1. 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

  1. Obtaining accurate TSK fuzzy rule-based systems by multi-objective evolutionary learning in high-dimensional regression problems

    IEEE International Conference on Fuzzy Systems

2012

  1. 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

  1. 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)

  2. 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

  3. 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

  4. Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures

    Information Sciences, Vol. 181, Núm. 20, pp. 4340-4360

2010

  1. 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)

  2. 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]

  3. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. Improving fuzzy logic controllers obtained by experts: A case study in HVAC systems

    Applied Intelligence, Vol. 31, Núm. 1, pp. 15-30

  6. 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

  7. 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

  1. 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

  1. A multi-objective evolutionary algorithm for rule selection and tuning on fuzzy rule-based systems

    IEEE International Conference on Fuzzy Systems

  2. 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