计算机支持的银行信贷条件的确定

S. Schwarze, Matthias Lechner, Michael Jensen
{"title":"计算机支持的银行信贷条件的确定","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":"{\"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}","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

摘要

近年来,服务公司也遇到了与工业公司类似的问题。一个例子是银行的信贷分配过程。这一进程没有得到信息系统的充分支持。因此,信贷分配的“前置时间”过长,导致成本过高。本文描述了一种改进信贷分配过程的方法。重点是通过规范处理来缩小个人信贷类型的范围,并对信贷分配过程中的模糊知识进行管理。在与一家德国银行合作的一个项目中,提出了两方面的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Computer supported determination of bank credit conditions
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Optimisation of an investment in South East Asian country funds investment company Self-organizing fuzzy and MLP approaches to detecting fraudulent financial reporting Density-based clustering and radial basis function modeling to generate credit card fraud scores The gene expression messy genetic algorithm for financial applications Problems with Monte Carlo simulation in the pricing of contingent claims
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1