运筹与管理 ›› 2018, Vol. 27 ›› Issue (8): 57-62.DOI: 10.12005/orms.2018.0181

• 理论分析与方法探讨 • 上一篇    下一篇

基于有序梯形模糊灰色关联TOPSIS的多属性决策方法

宝斯琴塔娜1,2,齐二石1   

  1. 1.天津大学 管理与经济学部,天津 300192;
    2.内蒙古财经大学 商务学院,内蒙古 呼和浩特 010051
  • 收稿日期:2017-05-22 出版日期:2018-08-25
  • 作者简介:宝斯琴塔娜(1984-),女,蒙古族,内蒙古通辽人,副教授,博士,研究方向:精益设计,物流管理;齐二石(1953-),男,吉林省,教授,博士,博士生导师,研究方向:系统工程与管理、工业工程与集成化管理、现代物流工程。
  • 基金资助:
    教育部高等学校博士学科点专项基金(20120032110035)

Multi-Attribute Decision Making Based on Ordered Trapezoidal Fuzzy Numbers Grey Correlation TOPSIS Method

BAO Siqintana1,2, QI Er-shi1   

  1. 1.College of Management and Economics, Tianjin University, Tianjin 300072, China;
    2.Business College, Inner Mongolia University of Finance and Economics, Hohhot 010051, China
  • Received:2017-05-22 Online:2018-08-25

摘要: 研究了有序梯形模糊数来表示不确定语言环境下的灰色关联TOPSIS多属性决策问题。首先应用有序梯形模糊数标度方案属性偏好信息,在传统梯形模糊数基础上增加了一个方向属性,使得决策信息的表示更加细腻;提出了有序梯形模糊环境下多属性决策灰色关联TOPSIS综合优选算法,引入了距离和灰色关联度相结合的综合贴近度公式,实现最优方案与理想方案的位置与曲线形状的一致性;最后通过制造系统内流动控制实例说明了所提出有序梯形模糊灰色关联TOPSIS方法的可行性和有效性。

关键词: 有序模糊数, TOPSIS, 灰色关联度, 多属性决策

Abstract: A grey correlation TOPSIS method for multi-attribute decision making is investigated in which the uncertain linguistic variables are represented by ordered trapezoidal fuzzy numbers. Firstly, the preference values for an alternative on each criteria are represented with ordered trapezoidal fuzzy numbers with an extra “orientation” attribute, which make the decision information more expressive. Then we put forward the multi-attribute grey correlation TOPSIS method based on ordered trapezoidal fuzzy environment, and introduce the combination of distance and grey correlation degree in the similarity degree formula to ensure the consistency of location and curve shape of optimal scheme and ideal scheme. Finally, the result of manufacturing flow control example illustrates the practicality and effectiveness of the proposed extended TOPSIS method.

Key words: ordered fuzzy numbers, TOPSIS, grey correlation degree, multi-attribute decision making

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