Fuzzy comprehensive evaluation of power equipment suppliers based on game theory and combination weighting

被引：0

作者：

Men Y. ^{[1
]}

Qian M. ^{[1
]}

Yu Z. ^{[1
]}

Teng J. ^{[1
]}

Chen S. ^{[2
]}

Li X. ^{[2
]}

机构：

[1] State Grid Beijing Electric Power Company Electric Power Research Institute, Beijing

[2] Beijing Ibdpower Technology Co., Ltd., Beijing

来源：

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2020年 / 48卷 / 21期

关键词：

Analytic hierarchy process; Factor analysis; Fuzzy comprehensive evaluation; Game theory combination weighting; Power equipment supplier;

D O I：

10.19783/j.cnki.pspc.191596

中图分类号：

学科分类号：

摘要：

There are shortcomings in the comprehensive evaluation of the national grid power equipment suppliers. To tackle this, a fuzzy comprehensive evaluation model based on game theory combined weighting is designed. First, the model constructs an evaluation system including features such as equipment ledger, equipment defects and equipment installation scope, and uses the analytic hierarchy process and factor analysis method to calculate the subjective weight and objective weight of each evaluation index. Then, the idea of the game theory set is used to combine and weight the two weights. Finally, the supplier category is determined according to the principle of maximum membership, and the final evaluation is completed. Taking the example of 162 power equipment suppliers put into operation by the State Grid Corporation from 2004 to 2018, the results show that there are 30 A-type suppliers, 16 B-type suppliers and 116 C-type suppliers. The objective rationality of the evaluation model is verified, and this can provide reference value for the grid company to make management decisions for power equipment suppliers. © 2020, Power System Protection and Control Press. All right reserved.

引用

页码：179 / 186

页数：7

共 26 条

[1] PENG Zhanglin, ZHANG Qiang, YANG Shanlin, Overview of comprehensive evaluation theory and methodology, Chinese Journal of Management Science, 23, S1, pp. 245-256, (2015)
[2] MARCHOZE R., ZHANG Mengzhong, An overview on qualitative research methods, Chinese Public Administration, 11, pp. 39-42, (2001)
[3] CHENG Qiyue, Structure entropy weight method to confirm the weight of evaluating index, Systems Engineering-Theory & Practice, 30, 7, pp. 1225-1228, (2010)
[4] DU R Y, KAMAKURA W A., Improving the statistical performance of tracking studies based on repeated cross-sections with primary dynamic factor analysis, International Journal of Research in Marketing, 32, 1, pp. 94-112, (2015)
[5] LI Fuxiang, LIU Qiqi, The comprehensive evaluation of China's regional financial development-based on panel data empirical research by factor analysis and TOPSIS, Journal of Industrial Technological Economics, 35, 3, pp. 152-160, (2016)
[6] TANG Xiaoling, TAN Zhuling, Comprehensive evaluation of the development level of Shanxi's real estate industry based on factor analysis and cluster analysis, Applied Mechanics and Materials, (2014)
[7] WU Jie, Cross efficiency research on data envelopment analysis (DEA), (2008)
[8] LIU Shun, Fuzzy comprehensive evaluation method and its application based on data envelopment analysis, (2010)
[9] XIN Yuhong, LI Xingxing, Supply chain performance evaluation based on data envelopment analysis, 2011 2nd IEEE International Conference on Emergency Management and Management Sciences, (2011)
[10] LI Rui, DUAN Kaiyan, Comprehensive evaluation of performance in logistics service supply chain based on the entropy method and gray analysis, Advanced Materials Research, (2013)

← 1 2 3 →