The Risk Assessment Study for Electric Power Marketing Competitiveness Based on Cloud Model and TOPSIS

2017 3rd International Conference on Applied Materials and Manufacturing Technology

Li, Cunbin^1 ; Wang, Yi^1 ; Lin, Shuaishuai^1

Institute School of Economics and Management, North China Electric Power University, Beijing

102206, China^1

关键词: Closeness degree;    Competitiveness evaluations;    Electric power enterprise;    Entropy weight method;    Evaluation index;    Marketing information;    Qualitative evaluations;    Quantitative values;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/242/1/012116/pdf
DOI  :  10.1088/1757-899X/242/1/012116

来源: IOP

【 摘 要 】

With the rapid development of the energy internet and the deepening of the electric power reform, the traditional marketing mode of electric power does not apply to most of electric power enterprises, so must seek a breakthrough, however, in the face of increasingly complex marketing information, how to make a quick, reasonable transformation, makes the electric power marketing competitiveness assessment more accurate and objective becomes a big problem. In this paper, cloud model and TOPSIS method is proposed. Firstly, build the electric power marketing competitiveness evaluation index system. Then utilize the cloud model to transform the qualitative evaluation of the marketing data into quantitative values and use the entropy weight method to weaken the subjective factors of evaluation index weight. Finally, by TOPSIS method the closeness degrees of alternatives are obtained. This method provides a novel solution for the electric power marketing competitiveness evaluation. Through the case analysis the effectiveness and feasibility of this model are verified.