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本文运用层次分析法的思想,建立了上市公司信用评级指标体系模型,并引入模糊数学和信息熵的方法,对初始指标进行筛选,用算例计算上市公司信用评级的指标集合元素。针对系统评价指标筛选后,出现的指标权重的不确定问题,引入证据推理的方法,设计出基于证据推理的反馈式调整权重的算法,并用算例验证该方法对企业信用评级的可行性。
In this paper, AHP method is used to establish the credit rating index system model of listed companies, and fuzzy mathematics and information entropy method are introduced to filter the initial indicators and calculate the index set elements of the credit rating of listed companies by using the example. Aiming at the problem of uncertain index weight after the screening of systematic evaluation index, the method of evidence reasoning is introduced to design an algorithm of feedback adjustment weight based on evidence reasoning. The feasibility of this method to corporate credit rating is verified by a numerical example.