2026-04-28T21:16:23Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/743722025-02-06T20:00:48Zcom_10324_1168com_10324_931com_10324_894col_10324_1302

Galende Hernández, Marta Gacto, María José Sáinz Palmero, Gregorio Ismael Alcalá, Rafael 2025-01-24T19:31:49Z 2025-01-24T19:31:49Z 2014 Information Sciences, 282, 190-213 0020-0255 https://uvadoc.uva.es/handle/10324/74372 10.1016/J.INS.2014.05.023 190 213 Information Sciences 282 Producción Científica This work is devoted to defining more general interpretability indexes to be applied to any scatter or linguistic model implemented by any type of membership functions. They are based on metrics that should take into account the semantic and inference issues: the semantic issue in order to preserve the meaning of the linguistic labels and the inference issue since this can influence the behavior of the rules. On the other hand, these metrics have been designed to be intuitive in order to support the analysis or selection of a final model and to favor a low computational cost within an optimization process. In order to check their usefulness, a multi-objective evolutionary algorithm, simultaneously performing a rule selection and an adjustment of the fuzzy partitions, is guided by the proposed indexes on several benchmark data sets to obtain models with different degrees of accuracy and interpretability. In addition, using these metrics, a local analysis can be carried out between models of a different nature. This local analysis through the model components, gives support to the user to make the best choice from among the models. European Research Council GA 314031, Spanish Ministry of Economy and Competitiveness and FEDER Founds under grants no. DPI2012-39381-C02-02 and no. TIN2012-33856, and the Andalusian Excellence Regional Project no. P10-TIC-6858 application/pdf eng Elsevier info:eu-repo/semantics/restrictedAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Elsevier Attribution-NonCommercial-NoDerivatives 4.0 Internacional Fuzzy rule-based system Linguistic or scatter fuzzy system Interpretability Semantic index Comparison and design of interpretable linguistic vs. scatter FRBSs: Gm3m generalization and new rule meaning index for global assessment and local pseudo-linguistic representation info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion https://www.sciencedirect.com/science/article/abs/pii/S0020025514005623?via%3Dihub SI