Sánchez, L. ., Otero, J. ., Couso, I. ., & Blanco, C. . (2016). Battery diagnosis for electrical vehicles through semi-physical fuzzy models. 416-423. https://doi.org/10.1109/FUZZ-IEEE.2016.7737717 (Original work published 2025)
I. Couso
First name
I.
Last name
Couso
2016
2013
Palacios, A. M., Sánchez, L. ., & Couso, I. . (2013). CI-LQD: A software tool for modeling and decision making with Low Quality Data. 1-8. https://doi.org/10.1109/FUZZ-IEEE.2013.6622418 (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)
2011
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)
2010
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)
2007
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 2025)
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 (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)
2006
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 2025)