Dual hesitant fuzzy interaction operators and their application to group decision making

被引:13
|
作者
Xu, Yejun [1 ,2 ]
Rui, Dou [1 ,2 ]
Wang, Huimin [1 ,2 ]
机构
[1] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing, Jiangsu, Peoples R China
[2] Hohai Univ, Business Sch, Nanjing, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
dual hesitant fuzzy sets; new operational laws on DHFSs; dual hesitant fuzzy interaction aggregation operators; decision-making;
D O I
10.1080/21681015.2015.1046509
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Considering that there may exist some interactions between membership function and non-membership function of different dual hesitant fuzzy sets (DHFSs), in this paper we present some new operational laws from the probability point of view and give a geometric interpretation of the new operations. Based on which, a new class of dual hesitant fuzzy aggregation operators are developed, including dual hesitant fuzzy weighted interaction averaging operator, dual hesitant fuzzy weighted interaction geometric operator, dual hesitant fuzzy ordered weighted interaction averaging operator, dual hesitant fuzzy ordered weighted interaction geometric operator, dual hesitant fuzzy hybrid interaction averaging operator, and dual hesitant fuzzy hybrid interaction geometric operator. The properties of these aggregation operators are investigated. The key advantage of these operators is that the interactions between non-membership function and membership function of different DHFSs are considered, and much more information provided by decision makers (DMs) has been taken into account. Additionally, approaches to multiple attributes decision-making are given based on the aggregation operators under hesitant fuzzy environment and an example is given to illustrate the application of DHFSs in group fore-casting.
引用
收藏
页码:273 / 290
页数:18
相关论文
共 50 条
  • [1] Some Hesitant Fuzzy Aggregation Operators with Their Application in Group Decision Making
    Xia, Meimei
    Xu, Zeshui
    Chen, Na
    [J]. GROUP DECISION AND NEGOTIATION, 2013, 22 (02) : 259 - 279
  • [2] Some Hesitant Fuzzy Aggregation Operators with Their Application in Group Decision Making
    Meimei Xia
    Zeshui Xu
    Na Chen
    [J]. Group Decision and Negotiation, 2013, 22 : 259 - 279
  • [3] Dual Hesitant Fuzzy Soft Aggregation Operators and Their Application in Decision-Making
    Harish Garg
    Rishu Arora
    [J]. Cognitive Computation, 2018, 10 : 769 - 789
  • [4] Dual Hesitant Fuzzy Soft Aggregation Operators and Their Application in Decision-Making
    Garg, Harish
    Arora, Rishu
    [J]. COGNITIVE COMPUTATION, 2018, 10 (05) : 769 - 789
  • [5] Weighted dual hesitant fuzzy sets and its application in group decision making
    Zeng, Wenyi
    Xi, Yue
    Yin, Qian
    Guo, Ping
    [J]. 2018 14TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2018, : 77 - 82
  • [6] Weighted dual hesitant fuzzy set and its application in group decision making
    Zeng, Wenyi
    Xi, Yue
    Yin, Qian
    Guo, Ping
    [J]. NEUROCOMPUTING, 2021, 458 : 714 - 726
  • [7] Generalized Hesitant Fuzzy Prioritized Einstein Aggregation Operators and Their Application in Group Decision Making
    Zhou, Xiaoqiang
    Li, Qingguo
    [J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2014, 16 (03) : 303 - 316
  • [8] Some hesitant fuzzy geometric operators and their application to multiple attribute group decision making
    Wang, Weize
    Liu, Xinwang
    [J]. TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2014, 20 (03) : 371 - 390
  • [9] Triangular cubic linguistic hesitant fuzzy aggregation operators and their application in group decision making
    Amin, Fazli
    Fahmi, Aliya
    Abdullah, Saleem
    Ali, Asad
    Ahmad, Rehan
    Ghani, Fazal
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 34 (04) : 2401 - 2416
  • [10] Trapezoidal cubic hesitant fuzzy aggregation operators and their application in group decision-making
    Fahmi, A.
    Abdullah, S.
    Amin, F.
    Ali, A.
    Ahmad, R.
    Shakeel, M.
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 36 (04) : 3619 - 3635