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企业信用风险评价是金融领域最重要的问题之一.提出一种将模糊聚类(FC)和变精度粗糙集理论(VPRS)结合进行信用风险评价的模型.首先利用模糊聚类法对样本上市公司数据进行离散化处理,然后根据变精度粗糙集理论抽取决策规则.结果表明,由该方法生成的决策规则能对样本数据进行正确的分类,并具有一定的抗干扰性.,Credit risk evaluation is one of the most important problems in the finance field.Fuzzy cluster and variable precision rough set theory are introduced to evaluate credit risk.Fuzzy cluster is applied to discriminate sample data. Then,decision rules are extracted by variable precision rough set theory.The result indicates that sample data can be classified correctly by the decision rules which have the character of anti.interference.