会议专题

On Consumer Credit Scoring Based on Multi-criteria Fuzzy Logic

A lot of personal information should be provided to judge the condition of consumer credit;we find that personal datum is often not very accurate, further the relationship between personal datum and his credit-scoring cant be defined clearly. Some classical mathematical methods are not very applicable to uncertainty information and connection. But it is well-known that human brain is very good at disposal of fuzzy information. There is a recommendable method to use fuzzy inference rules to depict the working-pattern of human brain in reasoning based on uncertainty information. We give a multi-criteria fuzzy evaluation model of consumer credit-rating which is a new solution to consumer scoring. Finally an example is illustrated to show how to use it.

consumer credit fuzzy logic scoring

Chen Xinhui Qiao Zhong

College of Economic and Administration, China Agricultural University, Beijing, 100083, China

国际会议

The Second International Conference on Business Intelligence and Financial Engineering(BIFE 2009)(第二届商务智能与金融工程国际会议)

北京

英文

765-768

2009-07-24(万方平台首次上网日期,不代表论文的发表时间)