基于余弦相似性的供应商选择方法

doi:10.6040/j.issn.1672-3961.1.2016.047

山东大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (1): 1-6.doi: 10.6040/j.issn.1672-3961.1.2016.047

• • 下一篇

基于余弦相似性的供应商选择方法

张莉^1,2, 夏佩佩¹, 李凡长^1,2

1. 苏州大学计算机科学与技术学院, 江苏苏州 215006;2. 苏州大学江苏省计算机信息处理技术重点实验室, 江苏苏州 215006

收稿日期:2016-03-01 出版日期:2017-02-20 发布日期:2016-03-01
作者简介:张莉(1975— ),女,江苏张家港人,教授,博士,主要研究方向为机器学习及模式识别.E-mail:zhangliml@suda.edu.cn
基金资助:
国家自然科学基金资助项目(61373093);江苏省自然科学基金资助项目(BK20140008,BK2012624);江苏省高校自然基金资助项目(13KJA520001)

A method based on cosine similarity in supplier selection

ZHANG Li^1,2, XIA Peipei¹, LI Fanzhang^1,2

1. School of Computer Science and Technology, Soochow University, Suzhou 215006, Jiangsu, China;
2. Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou 215006, Jiangsu, China

Received:2016-03-01 Online:2017-02-20 Published:2016-03-01

摘要/Abstract

摘要： 提出一种基于余弦相似性的改进TOPSIS(technique for order preference by similarity to ideal solution)法并将其应用于解决供应商选择的问题。夹角余弦的距离度量方式隐含了传统TOPSIS法中属性权重,提高了决策的客观性。在供应商选择的实例上证明了所提方法有较强的科学性和合理性。

关键词: TOPSIS, 余弦相似性, 供应商选择, 多属性决策, 欧氏距离

Abstract: An improved TOPSIS(technique for order preference by similarity to ideal solution)based on cosine similarity was proposed and applied to supplier selection. The distance metric based on cosine similarity implicated the weights of attribute in the traditional TOPSIS, and then the proposed method could improve the objectivity of decision. An application on supplier selection was given to show the strong scientificalness and rationality of the proposed method.

Key words: TOPSIS, cosine similarity, supplier selection, multi-attribute decision making, Euclidean distance

中图分类号:

TP391

张莉, 夏佩佩, 李凡长. 基于余弦相似性的供应商选择方法[J]. 山东大学学报(工学版), 2017, 47(1): 1-6.

ZHANG Li, XIA Peipei, LI Fanzhang. A method based on cosine similarity in supplier selection[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(1): 1-6.

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基于余弦相似性的供应商选择方法

A method based on cosine similarity in supplier selection

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