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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

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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. 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 Li1,2, XIA Peipei1, LI Fanzhang1,2   

  1. 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: 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
[1] CHAN FTS, KUMAR N. Global supplier development considering risk factors using fuzzy extended AHP-based approach[J]. Omega, 2007, 35(4):417-431.
[2] ALI S, MEHRAN T, HOSSEIN S, et al. Supplier selection based on supplier risk:an ANP and fuzzy TOPSIS approach[J]. Mathematics and Computer Science, 2011, 2(1):111-121.
[3] 刘晓, 李海越, 王成恩,等. 供应商选择模型与方法综述[J]. 中国管理科学, 2004, 12(1):139-148. LIU Xiao, LI Haiyue, WANG Cheng'en, et al. A survey of supplier selection models and approaches[J]. Chinese Journal of Management Science, 2004, 12(1):139-148.
[4] COOK R L. Case-based reasoning systems in purchasing:applications and development[J]. International Journal of Purchasing and Materials Management, 1997, 33(4):32-39.
[5] ALBINO V, GARAVELLIA C. A neural network application to subcontractor rating in construction firms[J]. International Journal of Project Management, 1998, 16(1):9-14.
[6] SHIROMARU I, INUIGUCHI M, SAKAWA M. A fuzzy satisficing method for electric power plant coal purchase using genetic algorithms[J]. European Journal of Operational Research, 2000, 126(1):218-230.
[7] HWANG C L, YOON K. Multiple attribute decision making methods and applications[M]. Berlin:Springer, 1981.
[8] 岳超源. 决策理论与方法[M]. 北京:科学出版社, 2003.
[9] 刘峰, 梁睿昕. 基于改进TOPSIS法的企业技术选择[J]. 技术经济, 2015, 34(2):50-53. LIU Feng, LIANG Ruixin. Enterprise technology choice based on the improved TOPSIS method[J]. Technology Economics, 2015, 34(2):50-53.
[10] RASTOGI M, CHAUHAN A, KISHAN A, et al. Selection and performance assessment of phase change materials for heating, ventilation and air-conditioning applications[J]. Energy Conversion and Management, 2015, 89(1):260-269.
[11] MEHRALIAN G, NAZARI J A, RESEKH H R, et al. TOPSIS approach to prioritize critical success factors of TQM[J]. Tqm Journal, 2016, 28(2):235-249.
[12] 宾厚, 汪妍蓉. 绿色供应链中基于改进的TOPSIS方法的供应商评价与选择[J]. 湖南工业大学学报, 2014, 28(2):81-86. BIN Hou, WANG Yanrong. Supplier evaluation and selection based on improved TOPSIS method in green supply chain[J]. Jouranl of Hunan University of Technology, 2014, 28(2):81-86.
[13] 张燕超. 基于改进TOPSIS 法的材料供应商选择评价研究[J]. 物流科技, 2014, 37(2):98-101. ZHANG Yanchao. Research on selection and evaluation of construction material supplier based on the improved TOPSIS[J]. Logistics Sci-Tech, 2014, 37(2):98-101.
[14] PATIL S K, KANT R. A fuzzy AHP-TOPSIS framework for ranking the solutions of knowledge management adoption in supply chain to overcome its barrier[J]. Expert Systems with Applications, 2014, 41(2):679-693.
[15] 陈雷, 王延章. 基于熵权系数与 TOPSIS 集成评价决策方法的研究[J].控制与决策, 2003, 18(4):456-459. CHEN Lei, WANG Yanzhang. Research on TOPSIS integrated evaluation and decision method based on entropy coefficient[J]. Control and Decision, 2003, 18(4):456-459.
[16] BORAN FE, GENC S, KURT M, et al. A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method[J].Expert Systems with Applications, 2009, 36(8):11363-11368.
[17] 王先甲, 汪磊. 基于马氏距离的改进型TOPSIS在供应商选择中的应用[J]. 控制与决策, 2012, 27(10):1566-1570. WANG Xianjia, WANG Lei. Application of TOPSIS improved based on Mahalanobis distance in supplier selection[J]. Control and Decision, 2012, 27(10):1566-1570.
[18] 陈晓红, 李喜华. 基于直觉梯形模糊TOPSIS的多属性群决策方法[J]. 控制与决策, 2013, 28(9):1377-1381. CHEN Xiaohong, LI Xihua. Group decision making based on novel trapezoidal intuitionistic fuzzy TOPSIS method[J]. Control and Decision, 2013, 28(9):1377-1381.
[19] 王硕, 杨善林, 胡笑旋. 基于投影寻踪的组合评价方法研究[J]. 中国工程科学, 2008, 10(8):60-64. WANG Shuo, YANG Shanlin, HU Xiaoxuan. Combinational evaluation method based on projection pursuit algorithom[J]. Engineering Science, 2008, 10(8):60-64.
[20] 孙晓东, 焦玥, 胡劲松. 基于灰色关联度和理想解法的决策方法研究[J].中国管理科学, 2005, 13(4):63-68. SUN Xiaodong, JIAO Yue, HU Jinsong. Research on decision-making method based on gray correlation degree and TOPSIS[J]. Chinese Journal of Management Science, 2005, 13(4):63-68.
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