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Advances in Intelligent Systems and Computing(1)
International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems(1)
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Fuzzy Cbkp_redit Risk Scoring Rules using FRvarPSO
ArticleAbstract: There is consensus that the best way for reducing insolvency situations in financial institutions isPalabras claves:Cbkp_redit risk, fuzzy rules, VarPSO (Variable Particle Swarm Optimization)Autores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusFRvarPSO as an Alternative to Measure Cbkp_redit Risk in Financial Institutions
Conference ObjectAbstract: When assessing potential clients and their cbkp_redit status, financial institutions must use methodPalabras claves:Cbkp_redit risk, Classification rules, FRvarPSO (fuzzy rules variable particle swarm optimization), fuzzy rulesAutores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusObtaining classification rules using LVQ +PSO: An application to cbkp_redit risk
Conference ObjectAbstract: Cbkp_redit risk management is a key element of financial corporations. One of the main problems thatPalabras claves:Cbkp_redit risk, Classification rules, Learning vector quantization (LVQ), Particle Swarm Optimization (PSO)Autores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo Santana, Villa-Monte A.Fuentes: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