Sánchez, O. ., Moyano, J. M., Sánchez, L. ., & Alcala-Fdez, J. . (2017). Mining association rules in R using the package RKEEL. 1-6. https://doi.org/10.1109/FUZZ-IEEE.2017.8015572 (Original work published 2025)
fuzzy set theory
Sánchez, L. ., Cordón García, Óscar ., Quirin, A. ., & Trawinski, K. . (2010). Introducing a genetic fuzzy linguistic combination method for bagging fuzzy rule-based multiclassification systems. 75-80. https://doi.org/10.1109/GEFS.2010.5454152 (Original work published 2025)
Palacios, A. M., Sánchez, L. ., & Couso, I. . (2011). Using the Adaboost algorithm for extracting fuzzy rules from low quality data: Some preliminary results. 1263-1270. https://doi.org/10.1109/FUZZY.2011.6007647 (Original work published 2025)
Martínez, A. ., Sánchez, L. ., & Couso, I. . (2013). Engine Health Monitoring for engine fleets using fuzzy radviz. 1-8. https://doi.org/10.1109/FUZZ-IEEE.2013.6622420 (Original work published 2025)
Cordón García, Óscar ., Quirin, A. ., & Sánchez, L. . (2008). A first study on bagging fuzzy rule-based classification systems with multicriteria genetic selection of the component classifiers. 11-16. https://doi.org/10.1109/GEFS.2008.4484560 (Original work published 2025)
Palacios, A. M., Sánchez, L. ., & Couso, I. . (2010). Preprocessing vague imbalanced datasets and its use in genetic fuzzy classifiers. 1-8. https://doi.org/10.1109/FUZZY.2010.5584797 (Original work published 2025)
Cordón García, Óscar ., Quirin, A. ., & Sánchez, L. . (2008). On the Use of Bagging, Mutual Information-Based Feature Selection and Multicriteria Genetic Algorithms to Design Fuzzy Rule-Based Classification Ensembles. 549-554. https://doi.org/10.1109/HIS.2008.147 (Original work published 2025)
Sánchez, L. ., & Couso, I. . (2007). Advocating the Use of Imprecisely Observed Data in Genetic Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 15, 551-562. https://doi.org/10.1109/TFUZZ.2007.895942 (Original work published 2025)
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 2025)
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 2025)