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 can't 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.