The Evaluation of Consumer Credit for Electric Power Enterprise Based on Subjective and Objective Weighting Approach

被引：0

作者：

Huang Yuan-sheng ^{[1
]}

Shang Sang ^{[1
]}

Shi Xiu-fen ^{[1
]}

机构：

[1] N China Elect Power Univ, Sch Business Adm, Baoding, Peoples R China

来源：

AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION | 2012年 / 137卷

关键词：

electric power enterprise's customers; credit evaluation; entropy method; weight;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The customer credit evaluation is a key element of the electricity market research for the electric power enterprises, the level of customer credit has a direct impact on the electric power company's operations. For avoiding the customer credit risk, this paper evaluated consumer credit for electric power enterprises by using a method which is combined quantitative analysis with qualitative analysis. In view of that subjective weighting method and objective weighting method have their own disadvantages and shortcomings, to improve the reliability of weights. this paper combined this two kinds of weighting methods organically to determine the comprehensive weights for evaluation indicators. The results of case study show that the model is a scientific and practical credit evaluation model.

引用

页码：587 / 593

页数：7

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