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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chen Xinhui Qiao Zhong |
| Copyright Year | 2009 |
| Abstract | 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. |
| Starting Page | 765 |
| Ending Page | 768 |
| File Size | 284223 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769537054 |
| DOI | 10.1109/BIFE.2009.177 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Uncertainty scoring Humans fuzzy logic Educational institutions Appraisal Agricultural engineering Fuzzy logic Fuzzy sets Brain modeling Mathematical model Fuzzy reasoning consumer credit |
| Content Type | Text |
| Resource Type | Article |
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