Sánchez, L., Couso, I., & Casillas, J. (2007). Modeling Vague Data with Genetic Fuzzy Systems under a Combination of Crisp and Imprecise Criteria. 30-37. https://doi.org/10.1109/MCDM.2007.369413 (Original work published 2026)
genetic algorithms
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)
Sánchez, L., Couso, I., & Casillas, J. (2006). A Multiobjective Genetic Fuzzy System with Imprecise Probability Fitness for Vague Data. 131-136. https://doi.org/10.1109/ISEFS.2006.251156 (Original work published 2026)
Casillas, J., & Sánchez, L. (2006). Knowledge Extraction from Fuzzy Data for Estimating Consumer Behavior Models. 164-170. https://doi.org/10.1109/FUZZY.2006.1681710 (Original work published 2026)
Sánchez, L. (2001). A fast genetic method for inducting linguistically understandable fuzzy models. 3, 1559-1563. https://doi.org/10.1109/NAFIPS.2001.943781 (Original work published 2026)
Sánchez, L., Couso, I., & Corrales, J. (2001). Combining GP operators with SA search to evolve fuzzy rule based classifiers. Information Sciences, 136, 175-191. https://doi.org/10.1016/S0020-0255(01)00146-3
Casillas, J., Cordón García, Ó., Herrera Triguero, F., & del Jesus Díaz, M. J. (2001). Genetic tuning of fuzzy rule-based systems integrating linguistic hedges. 3, 1570-1574. https://doi.org/10.1109/NAFIPS.2001.943783 (Original work published 2026)
Sánchez, L. (2000). Interval-valued GA-P algorithms. IEEE Transactions on Evolutionary Computation, 4, 64-72. https://doi.org/10.1109/4235.843495 (Original work published 2026)