{"title":"Computer supported determination of bank credit conditions","authors":"S. Schwarze, Matthias Lechner, Michael Jensen","doi":"10.1109/CIFER.1996.501828","DOIUrl":null,"url":null,"abstract":"In recent years, service companies have received similar problems to industrial companies. An example is the process of credit allocation in a bank. This process is not supported sufficiently through information systems. Thus, the \"lead time\" for credit allocation is too long which causes high costs. An approach to improving the process of credit allocation is described. The focus lies on tightening the range of individual credit types with the help of standardized treatment and on the management of vague knowledge in the process of credit allocation. Solutions which have been developed in a project with a German bank are suggested for both aspects.","PeriodicalId":378565,"journal":{"name":"IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering (CIFEr)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering (CIFEr)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIFER.1996.501828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, service companies have received similar problems to industrial companies. An example is the process of credit allocation in a bank. This process is not supported sufficiently through information systems. Thus, the "lead time" for credit allocation is too long which causes high costs. An approach to improving the process of credit allocation is described. The focus lies on tightening the range of individual credit types with the help of standardized treatment and on the management of vague knowledge in the process of credit allocation. Solutions which have been developed in a project with a German bank are suggested for both aspects.