Luciano Sánchez

First name
Luciano
Last name
Sánchez

2013

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)
Ver
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
Ver
Couso, I. ., Garrido, L. ., & Sánchez, L. . (2013). Similarity and dissimilarity measures between fuzzy sets: A formal relational study. Inf. Sci., 229, 122-141.
Ver

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
Ver
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
Ver

2011

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)
Ver
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
Ver
Palacios, A. M., Sánchez, L. ., & Couso, I. . (2011). Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data. International Journal of Approximate Reasoning, 52, 841-862. https://doi.org/10.1016/j.ijar.2011.02.007
Ver
Otero, J. ., Sánchez, L. ., Palacios, A. M., & Couso, I. . (2011). Managing stochastic algorithms cross-validation variability using an interval valued multiple comparison procedure. 1391-1396. https://doi.org/10.1109/ISDA.2011.6121854 (Original work published)
Ver
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
Ver
Loading...