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FRvarPSO: A method for obtaining fuzzy classification rules using optimization Techniques
Conference ObjectAbstract: FRvarPSO is a new method for obtaining classification rules, which operates on nominal and/or fuzzyPalabras claves:Classification rules, Data Mining, fuzzy rules, Particle Swarm Optimization, varPSOAutores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusSimplifying cbkp_redit scoring rules using LVQ + PSO
ArticleAbstract: Purpose: One of the key elements in the banking industry relies on the appropriate selection of custPalabras claves:Cbkp_redit risk, classification, Learning vector quantization, Particle Swarm OptimizationAutores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo Santana, Villa-Monte A.Fuentes:googlescopusVariations of particle swarm optimization for obtaining classification rules applied to cbkp_redit risk in financial institutions of Ecuador
ArticleAbstract: Knowledge generated using data mining techniques is of great interest for organizations, as it facilPalabras claves:Cbkp_redit risk, Fuzzy classification rules, Particle Swarm OptimizationAutores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopus