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Quality Credit Evaluation based on TOPSIS: Evidence from Air-conditioning Market in China
Author(s) -
Xiaoqian Zhu,
Fei Wang,
Changzhi Liang,
Jianping Li,
Xiaolei Sun
Publication year - 2012
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2012.04.137
Subject(s) - topsis , computer science , quality (philosophy) , china , operations research , mathematics , philosophy , epistemology , political science , law
Quality credit has been an academic and commercial hotspot recently. This paper is mainly devoted into using a quantitative method to evaluate credit quality. Firstly, a plain but logical indicator system of quality credit is established. Then, the classical MCDM method TOPSIS is introduced to evaluate the credit quality of 8 air-conditioning enterprises in China market. The discussion of evaluation results proves the feasibility and effectiveness of TOPSIS and moreover, reflects that indicators affect the evaluation results significantly. At last, some possible further studies are mentioned

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