Sánchez, L. ., Couso, I. ., Palacios, A. M., & Palacios, J. L. (2013). A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotorblade leading edge materials. Mechanical Systems and Signal Processing, 37, 76-91. https://doi.org/10.1016/j.ymssp.2012.02.009 (Original work published)
Luciano Sánchez
First name
Luciano
Last name
Sánchez
2013
Trawinski, K. ., Cordón García, Óscar ., Quirin, A. ., & Sánchez, L. . (2013). Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?. Knowledge-Based Systems, 54, 3-21. https://doi.org/10.1016/j.knosys.2013.08.006
Couso, I. ., Garrido, L. ., & Sánchez, L. . (2013). Similarity and dissimilarity measures between fuzzy sets: A formal relational study. Inf. Sci., 229, 122-141.
2012
Palacios, A. M., Sánchez, L. ., & Couso, I. . (2012). COMBINING ADABOOST WITH PREPROCESSING ALGORITHMS FOR EXTRACTING FUZZY RULES FROM LOW QUALITY DATA IN POSSIBLY IMBALANCED PROBLEMS. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20, 51-71. https://doi.org/10.1142/S0218488512400156
Palacios, A. M., Palacios, J. L., & Sánchez, L. . (2012). Eliciting a human understandable model of ice adhesion strength for rotor blade leading edge materials from uncertain experimental data. Expert Systems With Applications, 39, 10212-10225. https://doi.org/10.1016/j.eswa.2012.02.155
2011
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
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)
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)
Palacios, A. M., Sánchez, L. ., & Couso, I. . (2011). Future Performance Modeling in Athletism with Low Quality Data-based Genetic Fuzzy Systems. Multiple-Valued Logic and Soft Computing, 17, 207-228. (Original work published)
Couso, I. ., & Sánchez, L. . (2011). Inner and outer fuzzy approximations of confidence intervals. Fuzzy Sets and Systems, 184, 68-83. https://doi.org/10.1016/j.fss.2010.11.004