【摘要】 用电客户信用关系到整个电力工业的健康发展。目前对用电客户信用评价的方法各有优缺点,找出较为合理的评价方法,可为更准确地评价用电客户信用提供参考。在建立用电客户信用评价指标体系的基础上,首先采用基于语言评价信息的逼近理想点的排序方法(TOPSIS)对用电客户信用进行主观评价,继而采用熵权法对用电客户信用进行客观评价。实例计算说明2种评价方法的评价结果可能一致也可能不一致,因而认为同时应用2种方法进行用电客户信用评价,不但能充分利用用电客户的客观数据和主观信息,而且从评价思维和评价环节及评价者的责任心方面都有助于提高用电客户信用评价的准确性,使用电客户信用评价更趋合理。更多还原

【Abstract】 Electricity customers’ credit affects the development of the whole power industry. At present, the methods of evaluating credit of electricity customers have advantages and disadvantages, so the reasonable methods should be found and the more exact reference should be provided for evaluating electricity customers’ credit. On the basis of the establishment of a set of index system for evaluation, it subjectively evaluates the electricity customers’ credit through the TOPSIS method based on linguistic assessment information, and then it objectively evaluates the credit through entropy method. The example proved the result that might be not consistent. Therefore, using two kinds of methods to evaluate is useful. Not only objective data and subjective information can be fully used, but also can improve accuracy from evaluation thought, evaluation process and responsibility sense of evaluators, and further make credit evaluation to electricity customers more reasonable.更多还原