Operations Research and Management Science ›› 2023, Vol. 32 ›› Issue (2): 61-67.DOI: 10.12005/orms.2023.0046

• Theory Analysis and Methodology Study • Previous Articles     Next Articles

Hesitant Fuzzy Linguistic Distance Measures and Its Application in Multiple Attribute Decision Making

WU Shuangsheng1, LIN Jie1, YANG Yushu1, HUANG Donghong2   

  1. 1. School of Economics and Management, Tongji University, Shanghai 200092, China;
    2. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
  • Received:2021-01-11 Online:2023-02-25 Published:2023-03-28

犹豫模糊语言距离测度及其在多属性决策中的应用

吴双胜1, 林杰1, 杨玉舒1, 黄冬宏2   

  1. 1.同济大学 经济与管理学院,上海 200092;
    2.南京航空航天大学 经济与管理学院,江苏 南京 211106
  • 作者简介:吴双胜(1993-),男,安徽安庆人,博士研究生,研究方向:管理系统与系统工程;林杰(1967-),男,四川渠县人,教授,博士生导师,研究方向:决策支持系统,商务智能。
  • 基金资助:
    国家重点研发计划(2018YFC0830400);国家自然科学基金资助项目(71672128)

Abstract: A series of new and more reasonable hesitant fuzzy linguistic distance measures are proposed to solve the problems of the existing hesitant fuzzy linguistic distance measures, such as not satisfying the directness, changing the original decision information and ignoring the difference of hesitance degree. Firstly, the limitations of the existing hesitant fuzzy linguistic distance measures are enumerated and analyzed. Secondly, the definition of hesitance degree of hesitant fuzzy linguistic is given, and a series of new distance measures, such as Euclidean distance, Hamming distance, Hamming-Hausdorff distance, Euclidean-Hausdorff distance and their generalized form, weighted form and generalized weighted form, are put forward respectively for hesitant fuzzy linguistic term set, and the related properties and theorems of the new distance measures are proved. On this basis, a multi-attribute decision making method based on the new hesitant fuzzy linguistic distance measures and maximizing deviation is proposed. Finally, the feasibility and effectiveness of the new hesitant fuzzy linguistic distance measures and multi-attribute decision making method are verified by a concrete example and comparative analysis.

Key words: hesitant fuzzy linguistic term set, distance measure, maximizing deviation, multiple attribute decision making

摘要: 针对现有犹豫模糊语言距离测度存在不满足直递性、改变了原始决策信息、忽略了犹豫度差异等方面的问题,提出了一系列更为合理的新型犹豫模糊语言距离测度方法。首先,对现有犹豫模糊语言距离测度的局限性进行了枚举和分析。其次,给出了犹豫模糊语言犹豫度的定义,分别提出了犹豫模糊语言集的Euclidean距离、Hamming距离、Hamming-Hausdorff距离、Euclidean-Hausdorff距离以及它们的广义形式、加权形式和广义加权形式等一系列新型犹豫模糊语言距离测度,并对新型犹豫模糊语言距离测度的相关性质和定理进行了证明。在此基础上,提出了一种基于新型犹豫模糊语言距离测度和离差最大化的多属性决策方法。最后,通过具体算例和对比分析验证了新型犹豫模糊语言距离测度和多属性决策方法的可行性和有效性。

关键词: 犹豫模糊语言集, 距离测度, 离差最大化, 多属性决策

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