Various aggregation operators of the generalized hesitant fuzzy numbers based on Archimedean t-norm and t-conorm functions

被引:10
|
作者
Garg, Harish [1 ]
Keikha, Abazar [2 ]
机构
[1] Thapar Inst Engn & Technol Deemed Univ, Sch Math, Patiala 147004, Punjab, India
[2] Velayat Univ, Dept Math, Iranshahr, Iran
关键词
Generalized hesitant fuzzy numbers; Hesitant fuzzy numbers; Hesitant fuzzy sets; t-norm and t-conorm functions; Hybrid assessment; ATTRIBUTE DECISION-MAKING; LINGUISTIC TERM SETS; DISTANCE;
D O I
10.1007/s00500-022-07516-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper intends to introduce mathematical tools for aggregation of the generalized hesitant fuzzy numbers in order to increase the use of them in the real world. The proposed operators, are based on general form of t-norm and t-conorm functions, enable us to do some mathematical computations and aggregate the given generalized hesitant fuzzy numbers. At first, some famous Archimedean t-norms and t-conorms, i.e., Algebraic, Einstein, Hamacher, and Frank t-norms and t-conorms, and their properties, have been developed to be employed with generalized hesitant fuzzy numbers. Then, several averaging and geometric-based aggregation operators for generalized hesitant fuzzy numbers have been proposed. Later on, a decision-making algorithm has been defined based on such operators to address the problems. The necessity and application of the proposed concepts have been explained by some numerical examples.
引用
收藏
页码:13263 / 13276
页数:14
相关论文
共 50 条
  • [1] Various aggregation operators of the generalized hesitant fuzzy numbers based on Archimedean t-norm and t-conorm functions
    Harish Garg
    Abazar Keikha
    [J]. Soft Computing, 2022, 26 : 13263 - 13276
  • [2] Hesitant Fuzzy Linguistic Aggregation Operators Based on the Hamacher t-norm and t-conorm
    Zhu, Jianghong
    Li, Yanlai
    [J]. SYMMETRY-BASEL, 2018, 10 (06):
  • [3] Some issues on intuitionistic fuzzy aggregation operators based on Archimedean t-conorm and t-norm
    Xia, Meimei
    Xu, Zeshui
    Zhu, Bin
    [J]. KNOWLEDGE-BASED SYSTEMS, 2012, 31 : 78 - 88
  • [4] Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm
    Zhang, Nian
    Yao, Zhigang
    Zhou, Yufeng
    Wei, Guiwu
    [J]. NEURAL COMPUTING & APPLICATIONS, 2019, 31 (11): : 7017 - 7040
  • [5] Induced generalized pythagorean fuzzy aggregation operators and their application based on t-norm and t-conorm
    K. Rahman
    S. Abdullah
    F. Hussain
    [J]. Granular Computing, 2021, 6 : 887 - 899
  • [6] HESITANT TRAPEZOIDAL FUZZY AGGREGATION OPERATORS BASED ON ARCHIMEDEAN t-NORM AND t-CONORM AND THEIR APPLICATION IN MADM WITH COMPLETELY UNKNOWN WEIGHT INFORMATION
    Peng, Xindong
    [J]. INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 2017, 7 (06) : 475 - 510
  • [7] Induced generalized pythagorean fuzzy aggregation operators and their application based on t-norm and t-conorm
    Rahman, K.
    Abdullah, S.
    Hussain, F.
    [J]. GRANULAR COMPUTING, 2021, 6 (04) : 887 - 899
  • [8] Dual hesitant fuzzy information aggregation with Einstein t-conorm and t-norm
    Hua Zhao
    Zeshui Xu
    Shousheng Liu
    [J]. Journal of Systems Science and Systems Engineering, 2017, 26 : 240 - 264
  • [9] Dual hesitant fuzzy information aggregation with Einstein t-conorm and t-norm
    Zhao, Hua
    Xu, Zeshui
    Liu, Shousheng
    [J]. JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING, 2017, 26 (02) : 240 - 264
  • [10] Retraction Note: Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm
    Nian Zhang
    Zhigang Yao
    Yufeng Zhou
    Guiwu Wei
    [J]. Neural Computing and Applications, 2024, 36 (24) : 15231 - 15231