基于FA-KM-GAHP,模型的授信供应商风险的群体共识评价

doi:10.12066/j.issn.1007-2861.2333

Abstract

Abstract:

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.

Key words: supply chain finance, group analytic hierarchy process (GAHP), factor analysis (FA), group consensus, risk assessment

CLC Number:

C934

YU Siqin, Liu Zhongmin. Risk consensus assessment of credit suppliers based on the FA-KM-GAHP model[J]. Journal of Shanghai University（Natural Science Edition）, 2022, 28(6): 1008-1021.

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References 19

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

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