研究论文

基于FA-KM-GAHP,模型的授信供应商风险的群体共识评价

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  • 1.上海海事大学 上海高级国际航运学院, 上海 201306
    2.上海海事大学 经济管理学院, 上海 201306
余思勤(1956-), 男, 教授, 博士生导师,研究方向为交通运输经济与管理. E-mail: ysq@shmtu.edu.cn

收稿日期: 2021-05-06

  网络出版日期: 2021-09-10

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

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  • 1. Shanghai Advanced Institute of International Shipping, Shanghai Maritime University, Shanghai, 201306
    2. School of Economics and Management, Shanghai Maritime University, Shanghai, 201306

Received date: 2021-05-06

  Online published: 2021-09-10

摘要

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.

本文引用格式

余思勤, 刘仲敏 . 基于FA-KM-GAHP,模型的授信供应商风险的群体共识评价[J]. 上海大学学报(自然科学版), 2022 , 28(6) : 1008 -1021 . DOI: 10.12066/j.issn.1007-2861.2333

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.

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