PEDRO
VILLAR CASTRO
PROFESOR TITULAR DE UNIVERSIDAD
Universidad de Jaén
Jaén, EspañaPublications in collaboration with researchers from Universidad de Jaén (8)
2016
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On the combination of pairwise and granularity learning for improving fuzzy rule-based classification systems: GL-FARCHD-OVO
Advances in Intelligent Systems and Computing
2015
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Improving the OVO performance in Fuzzy Rule-Based Classification Systems by the genetic learning of the granularity level
IEEE International Conference on Fuzzy Systems
2012
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Feature selection and granularity learning in genetic fuzzy rule-based classification systems for highly imbalanced data-sets
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 20, Núm. 3, pp. 369-397
2011
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Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets
IEEE International Conference on Fuzzy Systems
2007
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Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off
International Journal of Approximate Reasoning
2003
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A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems
Intelligent Systems for Information Processing: From Representation to Applications (Elsevier B.V.), pp. 315-326
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Linguistic modeling with hierarchical systems of weighted linguistic rules
International Journal of Approximate Reasoning, Vol. 32, Núm. 2-3, pp. 187-215
2001
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A multiobjective genetic algorithm for feature selection and granularity learning in fuzzy-rule based classification systems
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS