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)
2006
Alcalá, R., Alcala-Fdez, J., Berlanga, F., Gacto, M. J., & Herrera Triguero, F. (2006). Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. 4031, 452-461. Annecy (France): Springer-Verlag.
Alcalá, R., Alcala-Fdez, J., Berlanga, F., Gacto, M. J., & Herrera Triguero, F. (2006). Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. 3885, 317-328. Tarragona (Spain): Springer.
García López, S., Cano De Amo, J. R., & Herrera Triguero, F. (2006). Incorporating Knowledge in Evolutionary Prototype Selection. 4224, 1358-1366.
Berlanga, F., del Jesus Díaz, M. J., González García, P., Herrera Triguero, F., & Mesonero, M. (2006). Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing. 4065, 337-349. Leipzig (Germany): Springer.
Alcalá, R., Alcala-Fdez, J., Gacto, M. J., & Herrera Triguero, F. (2006). Obtaining Compact and Still Accurate Linguistic Fuzzy Rule-Based Systems by Using Multi-Objetive Genetic Algorithms. 53-62.
Cano De Amo, J. R., Herrera Triguero, F., & Lozano Márquez, M. (2006). On the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. Applied Soft Computing, 6, 323-332.