{"title":"基于模糊技术的智能综合评分模型的构建","authors":"D. Nazarov, S. Efremov","doi":"10.1109/CBI.2019.10091","DOIUrl":null,"url":null,"abstract":"The article is devoted to the analysis of scoring models used in one of the Russian commercial banks. The purpose of the article is to build a comprehensive scoring model that takes into account various groups of additional variables that increase the accuracy of the model and reduce the default percentage of borrowers. To construct such a model, it is proposed to use fuzzy control technologies, as one of the methods of data mining.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Building an Intelligent Comprehensive Scoring Model Based on Fuzzy Technologies\",\"authors\":\"D. Nazarov, S. Efremov\",\"doi\":\"10.1109/CBI.2019.10091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article is devoted to the analysis of scoring models used in one of the Russian commercial banks. The purpose of the article is to build a comprehensive scoring model that takes into account various groups of additional variables that increase the accuracy of the model and reduce the default percentage of borrowers. To construct such a model, it is proposed to use fuzzy control technologies, as one of the methods of data mining.\",\"PeriodicalId\":193238,\"journal\":{\"name\":\"2019 IEEE 21st Conference on Business Informatics (CBI)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 21st Conference on Business Informatics (CBI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CBI.2019.10091\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 21st Conference on Business Informatics (CBI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBI.2019.10091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Building an Intelligent Comprehensive Scoring Model Based on Fuzzy Technologies
The article is devoted to the analysis of scoring models used in one of the Russian commercial banks. The purpose of the article is to build a comprehensive scoring model that takes into account various groups of additional variables that increase the accuracy of the model and reduce the default percentage of borrowers. To construct such a model, it is proposed to use fuzzy control technologies, as one of the methods of data mining.
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