Financial Evaluation of the Listed Electric Power Enterprises in China Based on Entropy TOPSIS

Abstract:

In this paper the entropy right-TOPSIS method is used, using entropy method to set weight is more effective than the use of subjective weighting method. The use of TOPSIS to determine evaluation scores can avoid the distribution of the number of samples and data limitations, reveals a different financial performance of listed companies the difference. From the evaluation results can be seen, N8, N5, N6, N7, N2 companies are the top five among the 12 listed companies. Their financial situation is better than other listed power companies.

• Periodical: Advanced Materials Research (Volumes 291-294)
• Pages: 3349-3353
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.291-294.3349
• Online since: July 2011
• Authors: Jin Hui Zhang, Zhi Wen Wang, Di Yuan
• Keywords: Entropy Weight Method, Financial Evaluation, TOPSIS

References

[1] Shyi-Ming Chen, Li-Wei Lee. Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method. Expert Systems with Applications, Volume 37, Issue 4, April 2010, Pages 2790-2798

DOI: 10.1016/j.eswa.2009.09.012

[2] Morteza Pakdin Amiri. Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods. Expert Systems with Applications, Volume 37, Issue 9, September 2010, Pages 6218-6224

DOI: 10.1016/j.eswa.2010.02.103

[3] Ming-Chyuan Lin, Chen-Cheng Wang, Ming-Shi Chen, C. Alec Chang. Using AHP and TOPSIS approaches in customer-driven product design process Computers in Industry, Volume 59, Issue 1, January 2008, Pages 17-31

DOI: 10.1016/j.compind.2007.05.013