Couso, I., & Sánchez, L. (2011). Mark-recapture techniques in statistical tests for imprecise data. International Journal of Approximate Reasoning, 52, 240-260. https://doi.org/10.1016/j.ijar.2010.07.009
Luciano Sánchez
First name
Luciano
Last name
Sánchez
2011
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)
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 Baseline Learning Genetic Fuzzy Classifier Based on Low Quality Data. 803-808. (Original work published)
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)