Francisco
Herrera Triguero
Publicaciones en las que colabora con Francisco Herrera Triguero (12)
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
2009
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KEEL: A software tool to assess evolutionary algorithms for data mining problems
Soft Computing, Vol. 13, Núm. 3, pp. 307-318
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
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A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems
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Aprendizaje evolutivo de los contextos de las funciones de pertenencia para extraer reglas de asociaciones difusas
Actas del II Simposio sobre Lógica Fuzzy y Soft Computing (LFSC 2007)
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Genetic learning of membership functions for mining fuzzy association rules
IEEE International Conference on Fuzzy Systems
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Genetic learning of membership functions for mining fuzzy association rules
2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4
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Rule base reduction and genetic tuning of fuzzy systems based on the linguistic 3-tuples representation
Soft Computing, Vol. 11, Núm. 5, pp. 401-419
2006
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A genetic-programming-based approach for the learning of compact fuzzy rule-based classification systems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)