模糊积分SVM集成的供应链金融信用风险评估研究

Study on Credit Risk Assessment in Supply Chain Financing Based on Fuzzy Integration and SVM

结合模糊积分和支持向量机理论,建立了模糊积分SVM集成的供应链金融信用风险评估模型,对评估中SVM输出重要程度难以量化的问题进行了模糊处理,提出了综合考虑核心企业信用状况和供应链关系状况的信用风险评估指标体系,通过比较分析证实了该方法具有更高的分类精度。

In this paper, by combining the fuzzy integration and SVM theories, we built the corresponding supply chain financing credit risk assessment model, applied the fuzzy treatment to the issues difficult to quantify in determining the importance in SVM output, proposed the credit risk assessment index system, and at the end, through a comparison, demonstrated the classifying accuracy of the method.