The Fuzzy Evaluation of Power Listed Companies’ Credit Risk Based on Entropy Weight

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Abstract:

An entropy fuzzy matter-element model is combined, based on the establishment of credit risk evaluation index system of the power listed companies. The model uses entropy weight method to determine the weight of evaluation index, which has strong objectivity. The calculation results show that this model is scientific and practical.

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Key Engineering Materials (Volumes 439-440)

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104-108

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June 2010

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© 2010 Trans Tech Publications Ltd. All Rights Reserved

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[1] Wang Wei-dong, Application of AHP to the credit assessment of Chinese listed corporations, Journal of J. Chongqing technology Business University, Vol. 23 No. 1, pp.96-99, (2006).

Google Scholar

[2] Tang Xiao-an, Meng Qing-fu, The Model to Evaluate Companies Credit Rating-the Application of the Binary Dependent Variable Model, Journal of FORECASTING, Vol. 21 No. 2, pp.39-43, (2002).

Google Scholar

[3] Wang Jian-wen, Liang Yan-jun, An Empirical Study of the Credit Risk of Listed Corporation in China Based on the KMV Model, Journal of MATHEMATICS IN PRACTICE AND THEORY, Vol 38 No. 10, pp.46-52, (2008).

Google Scholar

[4] Zhai Dong-sheng, Zhang Juan, Application of KMV Model to the Credit Risk Management of Listed Companies, Journal of Industrial Technology Economics, Vol 6 No. 1, pp.126-127, (2007).

Google Scholar