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)
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2007
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)
Casillas, J., Herrera Triguero, F., Pérez, R., & Villar, P. (2007). Preface: 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 (Original work published)
Fernández Hilario, A. L., García López, S., del Jesus Díaz, M. J., & Herrera Triguero, F. (2007). An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets. 170-179. Genova (Italy): Springer-Verlag. (Original work published 2026)
Alcalá, R., Alcala-Fdez, J., Gacto, M. J., & Herrera Triguero, F. (2007). Rule Base Reduction and Genetic Tuning of Fuzzy Systems based on the Linguistic 3-Tuples Representation. Soft Computing, 11, 401-419. https://doi.org/10.1007/s00500-006-0106-2
Cano De Amo, J. R., García López, S., Herrera Triguero, F., & Bernadó-Mansilla, E. (2007). Análisis of Evolutionary Prototype Selection by means of a Data Complexity Measure based on Class Separabilty. 145-152. Zaragoza.
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