Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

SMEs Credit Rating Method with Heterogeneous Information: a Chinese Case

Authors
Dan Meng1, Xu Yang
1School of Economics Information Engineering, Southwestern Univ. of Finance and Economics, Chengdu, 610074 China
Corresponding Author
Dan Meng
Available Online October 2007.
DOI
10.2991/iske.2007.121How to use a DOI?
Keywords
Fuzzy Set, Numerical Value, Heterogeneous Information, SMEs Credit rating,
Abstract

Enterprise credit rating is an important issue in finance field. Small and Medium Enterprises are playing more and more important role in world economy development. Especially, China SMEs has gained rapid development in recent years. However, financing difficulty is a predominant and common problem for the SMEs in China. It needs joint effort to solve the SMEs financing embarrassment. One of the solution is to establish a reasonable SMEs credit rating method which can produce a convincing credit rating result. The paper presents a SMEs credit rating method with heterogeneous information based on currently used credit criterion system in China.

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
10.2991/iske.2007.121How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dan Meng
AU  - Xu Yang
PY  - 2007/10
DA  - 2007/10
TI  - SMEs Credit Rating Method with Heterogeneous Information: a Chinese Case
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 706
EP  - 712
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.121
DO  - 10.2991/iske.2007.121
ID  - Meng2007/10
ER  -