• 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