Villar, P., Fernández Hilario, A. L., Carrasco, R., & Herrera Triguero, F. (2012). Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classication Systems for Highly Imbalanced Data-Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20, 369-397. https://doi.org/10.1142/S0218488512500195
P. Villar
First name
P.
Last name
Villar
2012
2007
Casillas, J., Herrera Triguero, F., Pérez, F., del Jesus Díaz, M. J., & Villar, P. (2007). Special issue on genetic fuzzy systems and the interpretability-accuracy trade-off. International Journal of Approximate Reasoning, 44, 1-3. https://doi.org/10.1016/J.IJAR.2006.06.002
2003
Cordón García, Ó., Herrera Triguero, F., del Jesus Díaz, M. J., Magdalena, L., Sánchez, A., & Villar, P. (2003). - A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems (B. Bouchon-Meunier, L. Foulloy, & R. R. Yager, Eds.). Amsterdam: Elsevier Science. https://doi.org/10.1016/B978-044451379-3/50026-1
Alcalá, R., Cano De Amo, J. R., Cordón García, Ó., Herrera Triguero, F., Villar, P., & Zwir, I. (2003). Linguistic Modeling with Hierarchical Systems of Weighted Linguistic Rules. International Journal of Approximate Reasoning, 32, 187-215.