{"title":"基于连续尺度的信用评分用于在线信用质量控制","authors":"K. Romanyuk","doi":"10.1109/EAIS.2015.7368796","DOIUrl":null,"url":null,"abstract":"The given paper proposes a method to assess credit worthiness based on a continuous scale. This method in contrast to current methods that rely on a binary scale such as bad/good credit uses aggregated randomized indices. Its application may have certain practical benifits in real life, e.g. assessing the individual loan price of a particular person rather than setting a standard loan price for clients. The credit scoring model is based on set of private borrowers information that can be converted into quality function corresponding to a weighting coefficient. These weighting coefficients and quality functions then can be used to compute the quality of credit score on a continuous scale. Results based on data from German credit base have showed the feasibility of the approach. It was found that results of credit scoring with a different scales can not be correctly compared by probability of well classified borrowers.","PeriodicalId":325875,"journal":{"name":"2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","volume":"55 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Credit scoring based on a continuous scale for on-line credit quality control\",\"authors\":\"K. Romanyuk\",\"doi\":\"10.1109/EAIS.2015.7368796\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The given paper proposes a method to assess credit worthiness based on a continuous scale. This method in contrast to current methods that rely on a binary scale such as bad/good credit uses aggregated randomized indices. Its application may have certain practical benifits in real life, e.g. assessing the individual loan price of a particular person rather than setting a standard loan price for clients. The credit scoring model is based on set of private borrowers information that can be converted into quality function corresponding to a weighting coefficient. These weighting coefficients and quality functions then can be used to compute the quality of credit score on a continuous scale. Results based on data from German credit base have showed the feasibility of the approach. It was found that results of credit scoring with a different scales can not be correctly compared by probability of well classified borrowers.\",\"PeriodicalId\":325875,\"journal\":{\"name\":\"2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)\",\"volume\":\"55 2\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EAIS.2015.7368796\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EAIS.2015.7368796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Credit scoring based on a continuous scale for on-line credit quality control
The given paper proposes a method to assess credit worthiness based on a continuous scale. This method in contrast to current methods that rely on a binary scale such as bad/good credit uses aggregated randomized indices. Its application may have certain practical benifits in real life, e.g. assessing the individual loan price of a particular person rather than setting a standard loan price for clients. The credit scoring model is based on set of private borrowers information that can be converted into quality function corresponding to a weighting coefficient. These weighting coefficients and quality functions then can be used to compute the quality of credit score on a continuous scale. Results based on data from German credit base have showed the feasibility of the approach. It was found that results of credit scoring with a different scales can not be correctly compared by probability of well classified borrowers.