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
fuzzy set theory
Sánchez, L., Cordón García, Ó., 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
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
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
Cordón García, Ó., 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
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
Cordón García, Ó., 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
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
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
Sánchez, L., Suarez, M. R., Villar, J. R., & Couso, I. (2007). Some Results about Mutual Information-based Feature Selection and Fuzzy Discretization of Vague Data. 1-6. https://doi.org/10.1109/FUZZY.2007.4295665