Sánchez, L. ., & Couso, I. . (2011). Obtaining fuzzy rules from interval-censored data with genetic algorithms and a random sets-based semantic of the linguistic labels. Soft Comput., 15, 1945-1957. https://doi.org/10.1007/s00500-010-0627-6 (Original work published)
Luciano Sánchez
First name
Luciano
Last name
Sánchez
2011
Sánchez, L. ., & Couso, I. . (2011). Singular spectral analysis of ill-known signals and its application to predictive maintenance of windmills with SCADA records. Soft Computing, 16. https://doi.org/10.1007/s00500-011-0767-3 (Original work published)
2010
Sánchez, L. . (2010). A coevolutionary genetic algorithm able to learn a FRBS and detect the less informative instances in low quality problems. Presentado en. Huelva (España). (Original work published)
Sánchez, L. ., Couso, I. ., Otero, J. V., & Palacios, A. M. (2010). Assessing the evolution of learning capabilities and disorders with graphical exploratory analysis of surveys containing missing and conflicting answers. Presentado en.
Alcala-Fdez, J. ., Garcia, S. ., Sánchez, L. ., Robles, I. ., del Jesus Díaz, M. J. ., Bernadó-Mansilla, E. ., … Herrera Triguero, F. . (2010). Introduction to the Experimental Design in the Data Mining Tool KEEL. (Original work published)
2009
Palacios, A. M., Sánchez, L. ., & Couso, I. . (2009). A Minimum-Risk Genetic Fuzzy Classifier Based on Low Quality Data (E. . Corchado, X. . Wu, E. . Oja, álvaro . Herrero, & B. . Baruque, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg.
Palacios, A. M., Sánchez, L. ., & Couso, I. . (2009). Extending a simple genetic cooperative-competitive learning fuzzy classifier to low quality datasets. Evolutionary Intelligence, 2, 73-84. https://doi.org/10.1007/s12065-009-0024-1 (Original work published)
Palacios, A. M., Couso, I. ., & Sánchez, L. . (2009). GFS-Based Analysis of Vague Databases in High Performance Athletics. 602-609. https://doi.org/10.1007/978-3-642-04394-9_73 (Original work published)
Sánchez, L. ., Otero, J. ., & Couso, I. . (2009). Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms. Soft Comput., 13, 467-479. https://doi.org/10.1007/s00500-008-0362-4 (Original work published)
Villar, J. R., Otero, A. ., Otero, J. ., & Sánchez, L. . (2009). Taximeter verification using imprecise data from GPS. Engineering Applications of Artificial Intelligence, 22, 250-260. https://doi.org/10.1016/j.engappai.2008.07.002