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Fuzzy Credit 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:googlescopusFuzzy classification rules with frvarpso using various methods for obtaining fuzzy sets
ArticleAbstract: Having strategies capable of automatically generating classification rules is highly useful in any dPalabras claves:Classification rules, Data Mining, Fuzzy C-means, fuzzy rules, Index Terms—FRvarPSO (Fuzzy Rules variable Particle Swarm Optimization)Autores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusExtraction of knowledge with population-based metaheuristics fuzzy rules applied to credit risk
Conference ObjectAbstract: One of the goals of financial institutions is to reduce credit risk. Consequently they must properlyPalabras claves:FR (Fuzzy Rules) cbkp_redit risk, VarPSO (Variable Particle Swarm Optimization)Autores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusFRvarPSO as an Alternative to Measure Credit Risk in Financial Institutions
Conference ObjectAbstract: When assessing potential clients and their credit status, financial institutions must use methodologPalabras claves:Cbkp_redit risk, Classification rules, FRvarPSO (fuzzy rules variable particle swarm optimization), fuzzy rulesAutores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusFRvarPSO: 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:googlescopusProposal for a Pivot-Based Vehicle Trajectory Clustering Method
Book PartAbstract: Given the large volume of georeferenced information generated and stored by many types of devices, tPalabras claves:artificial intelligence and advanced computing applications, data and data science, geographic information science, GPS data, machine learning (artificial intelligence), pattern recognitionAutores:Fernández-Bariviera A., GARY REYES ZAMBRANO, Hasperué W., Lanzarini L.C.Fuentes:googlescopusObtaining classification rules using LVQ +PSO: An application to credit risk
Conference ObjectAbstract: Credit risk management is a key element of financial corporations. One of the main problems that facPalabras 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 credit 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 credit 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