NDLI: Comprehensive evaluation of listed companies in power industry on the operation performance based on fuzzy borda combination method

Content Provider	IEEE Xplore Digital Library
Author	Liu Yan-chun Hu Wei-na Sun Bo-wen
Copyright Year	2012
Description	Author affiliation: Business School of Liaoning University, China, 110036 (Liu Yan-chun; Hu Wei-na) \|\| College of Sciences of Northeastern University, China, 110819 (Sun Bo-wen)
Abstract	The modeling technology of combination evaluation drops the imperfectness of information in complex system. However, the fuzzy combination evaluation method unifying the Fuzzy Theory and combination makes the evaluation of the complex system more realistic. Firstly, adopting the TOPSIS evaluation method, Principal Component Analysis and Factor Analysis, deliberating the data of the Chinese listed companies' financial statements in the first quarter of 2011, this paper conducts the operating performance on the comprehensive evaluation and rank, which is from the 53 listed companies whose main business is power system in the Shanghai and Shenzhen Stock Market. Secondly, the article proves the consistency of the three evaluation methods through the nonparametric Spearman correlation coefficient test. Finally, establishing and applying the Fuzzy Borda Combination Evaluation Method, the article processes the operating performance afresh. The result makes the comprehensive evaluation and rank of the 53 enterprises more scientific and rational.
Starting Page	541
Ending Page	546
File Size	472643
Page Count	6
File Format	PDF
ISBN	9781467330152
ISSN	21551855
e-ISBN	9781467330145
DOI	10.1109/ICMSE.2012.6414232
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation coefficient factor analysis Correlation Loading Companies Borda Combination Spearman correlation coefficient Indexes TOPSIS principal component analysis Principal component analysis
Content Type	Text
Resource Type	Article

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