中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2006, Vol. 25 ›› Issue (3): 111-115.

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Appraisement and selection decision of suppliers based on the method of fuzzy principal component analysis

YU Zu-de1,ZHOU Ming-you2,CHEN Jun-fang1   

  1. 1.Shanghai Jiaotong University Antai school of management,Shangha 200030,China; 2.China Nonnal University School of Maths and Information, Sichuan Nanchong 637002, China
  • Received:2005-05-10 Revised:2005-06-20 Online:2006-06-15 Published:2015-05-18

基于模糊主成分分析法的供应商评价与选择决策

余祖德1,周明友2,陈俊芳1   

  1. 1.上海交通大学安泰管理学院,上海 200030;2.西华师范大学教学与信息学院,四川 南充 637002
  • 作者简介:余祖德(1976—),男,湖北黄梅县人,博士生,从事供应链管理、资源优化配置方面研究

Abstract: When there are too many indexes of suppliers' selection and it is not easy to make a decision. On the one hand it is easy to find the principal components,their contribution rate(the early weight) and reduce the dimension with the method of principal component analysis. One the other hand it can be used to modify the early weight and make the weight rationally.The appraising value endow with new weight are scientific and impersonal.They can be used as reference of suppliers selection.

Key words: supplier, selection, index, principal component

摘要: 企业供应商的选择所设计的指标非常多时,就很难轻易地作出决策.采用模糊主成分分析法一方面可以容易 地从中找出主要因素及其贡献率(初始权重),达到降维的目的,另一方面可以对主成分初始权重进行修正使得所 得到的权重合理,赋予新的权重后使得评价值比较科学和客观,能够作为进行供应商的参考.

关键词: 供应商, 选择, 指标, 主成分

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