DocumentCode
3035965
Title
On Consumer Credit Scoring Based on Multi-criteria Fuzzy Logic
Author
Xinhui, Chen ; Zhong, Qiao
Author_Institution
Coll. of Economic & Adm., China Agric. Univ., Beijing, China
fYear
2009
fDate
24-26 July 2009
Firstpage
765
Lastpage
768
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 canpsilat 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.
Keywords
finance; fuzzy logic; fuzzy set theory; consumer credit scoring; consumer credit-rating; fuzzy inference rules; mathematical methods; multicriteria fuzzy evaluation model; multicriteria fuzzy logic; personal datum; Agricultural engineering; Appraisal; Brain modeling; Educational institutions; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Humans; Mathematical model; Uncertainty; consumer credit; fuzzy logic; scoring;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
Conference_Location
Beijing
Print_ISBN
978-0-7695-3705-4
Type
conf
DOI
10.1109/BIFE.2009.177
Filename
5208753
Link To Document