DocumentCode
442015
Title
The composite evaluation of management performance of Chinese listed companies on stock market based on fuzzy combination
Author
Liu, Yan-Chun ; Tie, Wang ; Gao, Li-Qun ; Ping, Ren ; Liu, Bao-Zheng
Author_Institution
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Volume
6
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
3506
Abstract
Combinatorial evaluation method is able to decrease the incomplete information of complex system, however the fuzzy combination evaluation method that unifies fuzzy theory and combinatorial idea is more consistent to reality. In this paper, we firstly use the topsis, principal component analysis and factor analysis methods respectively to evaluate and arrange in order the management performance of fifty Chinese listed companies on stock market, whose main operation is electric power, according to the concerned data in their 2004´s interim reports; secondly, we examine the consistency of these evaluation methods based on the nonparametric Spearman´s rank correlation coefficient method; finally, we construct fuzzy combinatorial evaluation model to evaluate and arrange the management performance of these fifty companies again, the results are more scientific and reasonable.
Keywords
correlation methods; financial management; fuzzy set theory; investment; nonparametric statistics; principal component analysis; stock markets; Chinese stock market; factor analysis methods; fuzzy combinatorial evaluation model; fuzzy theory; nonparametric Spearman rank correlation coefficient method; principal component analysis; topsis evaluation; Energy management; Engineering management; Fuzzy systems; Information science; Investments; Mathematics; Performance analysis; Power system management; Principal component analysis; Stock markets; Fuzzy combinatorial evaluation; Spearman’s rank correlation coefficient; factor analysis; principal component analysis; topsis evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527549
Filename
1527549
Link To Document