DocumentCode
3410844
Title
The application of the grey relational analysis in the credit evaluation of group enterprises
Author
Xiu-ying, Liu ; Zhong-chun, Mi
Author_Institution
Sch. of Manage., Univ. of Sci. & Technol. of China, Hefei, China
fYear
2009
fDate
10-12 Nov. 2009
Firstpage
236
Lastpage
241
Abstract
With the exposure of serious problems in a series of enterprise groups such as Lantian Group, Yinguangxia Group, Delong and Nanhai huaguang Group, the credit risks stand out for those commercial banks, which provide loans to these enterprise groups. Enterprise groups have complicated of organizational structure and concealed internal transactions, which mean that enterprise groups are grey systems. However, commercial banks matching credit evaluation and credit management at their developing stages lack of a whole objective technology that is suitable for management regulations and credit rating system. Based on investigation and research on persons, this paper proposes specially credit evaluation index system of group enterprises, including quantitative and qualitative indexes. It processes these indexes by principal component analysis method and entropy method based on grey relational analysis model of the credit score values of enterprises. Finally, it evaluates grey relational grade of credit risk between parent corporation and its subsidiary about Group ¿QiaQia¿. The results of this analysis are consistent with practice.
Keywords
banking; entropy; grey systems; principal component analysis; commercial banks; credit evaluation index system; credit management; enterprise group evaluation; entropy method; grey relational analysis; principal component analysis; qualitative index; quantitative index; Business; Control systems; Intelligent systems; Investments; Product safety; Production; Risk analysis; Risk management; Technology management; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4914-9
Electronic_ISBN
978-1-4244-4916-3
Type
conf
DOI
10.1109/GSIS.2009.5408314
Filename
5408314
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