The Study of Small Enterprises Credit Evaluation Based on Incremental AntClust

摘要：

The lending rate and lending credit rely on the accurate evaluation of the credit risk of small business. In this paper, according to the running processes in some commercial bank in Nanjing in China , we construct an in dex system for small business credit evaluation which is a combination of qualitative indices and quantitative ones. Moreover we present an incremental clustering algorithm based on the chemical recognition system of ants to produce index weights. At last we adopt empirical study and the result shows that the credit value of the business gained from the model is credible and accurate.

作者: LIANG Xue-chun CHEN Sen-fa LIU-Yan

作者单位: Economics Management Institute, Southeast University, Nanjing 210096 China System Engineering Research Institute, Nanjing University of Technology,Nanjing, 210009 China

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）