Volume 7 Number 4 (Apri. 2012)
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JCP 2012 Vol.7(4): 982-987 ISSN: 1796-203X
doi: 10.4304/jcp.7.4.982-987

Research on Evaluation of Power Supply Companies External Service Quality Based on Improved Grey Interrelated Analysis Method

Wei Li, Wei-dong Dong, Ya-nan Yuan
Department of Economics and Management, North China Electric Power University, Baoding, Hebei, 071003, China
Abstract—Power system reform makes electric power enterprises face market environment is more complex, electric power customer satisfaction directly affects the power supply enterprise to improve the benefit, therefore, the power supply enterprise conducts electricity service quality evaluation and improvement of deficiencies become the urgent problem, this plays a vital role in improve enterprise competition ability and realize sustainable development. This paper analyzes the influence power supply enterprise external service quality of various factors so as to construct the power supply enterprise external service quality evaluation index system. The weight of each index is calculated by the AHP method and the entropy weight method, the mentalistic method is introduced to combined subjective weight and objective weight so the combined weights better balance between the two aspects of subjective and objective factors. In the traditional grey relation analysis, distinguish coefficient is 0.5, but it has certain defect so this paper use a new method to solve the distinguish coefficient and then establish the improved grey relational comprehensive evaluation model. The empirical analysis shows that the evaluation model is effective, and it have realistic meanings for the power supply enterprises to improve service quality.

Index Terms—Power supply enterprises; service quality; combination weighting; improved grey interrelated analysis method.

[PDF]

Cite: Wei Li, Wei-dong Dong, Ya-nan Yuan, "Research on Evaluation of Power Supply Companies External Service Quality Based on Improved Grey Interrelated Analysis Method," Journal of Computers vol. 7, no. 4, pp. 982-987, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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