Alcala-Fdez, J., Alcalá, R., Gacto, M. J., & Herrera Triguero, F. (2007). Aprendizaje Evolutivo de los Contextos de las Funciones de Pertenencia para Extraer Reglas de Asociación Difusas. 25-32. (Original work published 2026)
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2007
García López, S., Cano De Amo, J. R., & Herrera Triguero, F. (2007). Un algoritmo memético para la selección de prototipos: Una propuesta eficiente para problemas de tamaño medio. Presented at the. Tenerife.
del Jesus Díaz, M. J., González García, P., Herrera Triguero, F., & Mesonero, M. (2007). Evolutionary fuzzy rule induction process for subgroup discovery: a case study in marketing. IEEE Transactions on Fuzzy Systems, 15, 578-592.
García, J. J. A., J.~J, ~, Chica, M., del Jesus Díaz, M. J., M.~J, ~, Herrera Triguero, F., & F, ~. (2007). Un estudio sobre el uso de algoritmos genéticos multimodales para selección de características. Presented at the. (Original work published)
Cano De Amo, J. R., Herrera Triguero, F., & Lozano Márquez, M. (2007). Evolutionary Stratified Training Set Selection for Extracting Classification Rules with trade off Precision-Interpretability. Data \& Knowledge Engineering, 60, 90-108.
Alcalá, R., Alcala-Fdez, J., Gacto, M. J., & Herrera Triguero, F. (2007). Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. 1538-1543. London (United Kingdom). (Original work published 2026)
González García, P., del Jesus Díaz, M. J., & Herrera Triguero, F. (2007). Multiobjective genetic algorithm for extractiong subgroup discovery fuzzy rules. 50-57. Honolulu (USA): Omnipress.
Alcalá, R., Gacto, M. J., Herrera Triguero, F., & Alcala-Fdez, J. (2007). A Multi-objectiveGenetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15, 539-557. https://doi.org/10.1142/S0218488507004868
García, J. J. A., Chica, M., del Jesus Díaz, M. J., & Herrera Triguero, F. (2007). Niching genetic feature selection algorithms applied to the design of fuzzy rule-based classification systems. 1-6. https://doi.org/10.1109/FUZZY.2007.4295638 (Original work published 2026)
Fernández Hilario, A. L., García López, S., del Jesus Díaz, M. J., & Herrera Triguero, F. (2007). A study on the Use of the Fuzzy Reasoning Method based on the Winning Rule Vs. Voting Procedure for Classification with Imbalanced Data Sets. 375-382. San Sebastián (Spain): Springer-Verlag. (Original work published 2026)