基于FA-KM-GAHP,模型的授信供应商风险的群体共识评价

结合因子分析(factor analysis, FA)、K-均值(K-means, KM)及群体多层次分析(group analytic hierarchy process, GAHP)构建FA-KM-GAHP模型, 并对授信供应商风险进行群体共识一致性评价. 实证研究显示: 速动比率、产品价格的稳定性、产品质量问题与投诉的指标权重值分别是28.12%、 15.85%及45.79%; 授信供应商$D_2$优于其他授信供应商13.82%~57.36%. 基于此, 提出了评估和选择 授信供应商的 建议, 例如搭建联盟型区块链风险评价的共享平台等应对措施.

Risk consensus assessment of credit suppliers based on the FA-KM-GAHP model

This paper combines factor analysis (FA) theory, the K-means (KM) model, and the group analytic hierarchy process (GAHP) to construct the FA-KM-GAHP models to investigate the group consensus assessment of credit suppliers. The results show that quick ratio, stability of product price, and product quality and complaints account for 28.12%, 15.85%, and 45.79% of the attributes' weight value, respectively. Credit supplier $D_2$ is superior to other suppliers by 13.82% to 57.36%. Based on these findings, suggestions for assessing and choosing credit suppliers are proposed, such as sharing the platform construction of risk consensus assessment using consortium blockchain technology.