%0 Journal Article
%T Study of Credit Rating Based on Soft Computing<br>基于软计算的资信评估研究
%A ZHU Li
%A ZHANG Hong-wei
%A TAN Hui
%A <br>朱丽
%A 张洪伟
%A 谭辉
%J 计算机应用研究
%D 2005
%I 
%X In this paper,a credit rating model based on soft computing is proposed which is a integration of fuzzy mathematics and genetic algorithm and use Fast Genetic k means Algorithm to cluster. The result indicates that, while both FGKA and GKA always converge to the global optimum, FGKA runs much faster than GKA. The realization of the model introduces a new way to ERP in credit rating with the use of PowerBuilder and Sybase SQL server.
%K Soft Computer(SC)
%K Fast Genetic K
%K means Clustering Algorithm(FGKA)
%K Fuzzy Mathematics
%K Credit Rating
%K Enterprise Resource Planning(ERP)<br>软计算
%K 快速遗传k-均值聚类算法
%K 模糊数学
%K 资信评估
%K 企业资源计划
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=4916FAF19F8B3759&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=94C357A881DFC066&sid=67969BA850333433&eid=E44E40A2398D4F2A&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=6&reference_num=9