Aiming at the problem that it is difficult to quantify the subjective and objective weights of each index in the credit evaluation of electricity customers

an evaluation method of the credit evaluation of electricity customers which combines improved analytic hierarchy process

coefficient of variation and TOPSIS（Technique for Order Preference by Similarity to Ideal Solution） is proposed.First

according to the principles of orientation

comprehensiveness

ease of operation and so on

a two-tier credit evaluation index system for electricity customers is constructed; then

from the subjective and objective perspectives

the improved analytic hierarchy process and variation coefficient method are used to calculate subjective and objective weights separately.The final weight takes the comprehensive weight value; and based on this

the technique for order preference by similarity to ideal solution is used to comprehensively evaluate their credit level taking the relative proximity of the first-level evaluation index of electricity consumers as a reference; finally

the effectiveness of research method is verified by simulation and analysis of calculation examples.And the result shows that subjective and objective comprehensive factors are used to calculate index weights in order to evaluate customer credit levels.