Induced generalized hesitant fuzzy Shapley hybrid operators and their application in multi-attribute decision making

被引：42

作者：

Meng, Fanyong ^{[1
,2
]}

Chen, Xiaohong ^{[1
]}

Zhang, Qiang ^{[3
]}

机构：

[1] Cent S Univ, Sch Business, Changsha 410083, Peoples R China

[2] Qingdao Technol Univ, Sch Management, Qingdao 266520, Peoples R China

[3] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China

来源：

APPLIED SOFT COMPUTING | 2015年 / 28卷

基金：

美国国家科学基金会;

关键词：

Multi-attribute decision making; Hesitant fuzzy set; Grey relational analysis (GRA) method; Shapley function; RELATIONAL ANALYSIS METHOD; AGGREGATION OPERATORS;

D O I：

10.1016/j.asoc.2014.11.017

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, two induced generalized hesitant fuzzy hybrid operators called the induced generalized hesitant fuzzy Shapley hybrid weighted averaging (IG-HFSHWA) operator and the induced generalized hesitant fuzzy Shapley hybrid geometric mean (IG-HFSHGM) operator are defined. The prominent characteristics of these two operators are that they do not only globally consider the importance of elements and their ordered positions, but also overall reflect their correlations. Furthermore, when the weight information of the attributes and the ordered positions is partly known, using grey relational analysis (GRA) method and the Shapley function models for the optimal fuzzy measures on an attribute set and on an ordered set are respectively established. Finally, an approach to hesitant fuzzy multi-attribute decision making with incomplete weight information and interactive conditions is developed, and an illustrative example is provided to show its practicality and effectivity. (C) 2014 Published by Elsevier B.V.

引用

页码：599 / 607

页数：9

共 50 条

[41] Knowledge measure of hesitant fuzzy set and its application in multi-attribute decision-making
Lalotra, Sumita
Singh, Surender
COMPUTATIONAL & APPLIED MATHEMATICS, 2020, 39 (02):
[42] Time-sequential hesitant fuzzy set and its application to multi-attribute decision making
Lingyu Meng
Liangqun Li
Complex & Intelligent Systems, 2022, 8 : 4319 - 4338
[43] Some new hybrid hesitant fuzzy weighted aggregation operators based on Archimedean and Dombi operations for multi-attribute decision making
Saha, Abhijit
Dutta, Debjit
Kar, Samarjit
NEURAL COMPUTING & APPLICATIONS, 2021, 33 (14): : 8753 - 8776
[44] Hesitant Fuzzy DeGroot Opinion Dynamics Model and Its Application in Multi-attribute Decision Making
Su, Z.
Xu, Z.
Zhao, H.
Liu, S.
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2020, 15 (04)
[45] Some new hybrid hesitant fuzzy weighted aggregation operators based on Archimedean and Dombi operations for multi-attribute decision making
Abhijit Saha
Debjit Dutta
Samarjit Kar
Neural Computing and Applications, 2021, 33 : 8753 - 8776
[46] Knowledge measure of hesitant fuzzy set and its application in multi-attribute decision-making
Sumita Lalotra
Surender Singh
Computational and Applied Mathematics, 2020, 39
[47] A note on "New aggregation operators of single-valued neutrosophic hesitant fuzzy set and their application in multi-attribute decision making"
Wang, Li
Bao, Yan-Ling
PATTERN ANALYSIS AND APPLICATIONS, 2021, 24 (02) : 801 - 803
[48] A note on “New aggregation operators of single-valued neutrosophic hesitant fuzzy set and their application in multi-attribute decision making”
Li Wang
Yan-Ling Bao
Pattern Analysis and Applications, 2021, 24 : 801 - 803
[49] Commentary on “New aggregation operators of single-valued neutrosophic hesitant fuzzy set and their application in multi-attribute decision making”
Akansha Mishra
Amit Kumar
Pattern Analysis and Applications, 2019, 22 : 1207 - 1209
[50] Normal wiggly hesitant fuzzy linguistic power Hamy mean aggregation operators and their application to multi-attribute decision-making
Liu, Peide
Xu, Hongxue
Geng, Yushui
COMPUTERS & INDUSTRIAL ENGINEERING, 2020, 140

← 1 2 3 4 5 →