Dual hesitant fuzzy group decision making method and its application to supplier selection

被引：52

作者：

Yu, Dejian ^{[1
,2
]}

Li, Deng-Feng ^{[1
]}

Merigo, Jose M. ^{[3
,4
]}

机构：

[1] Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Fujian, Peoples R China

[2] Zhejiang Univ Finance & Econ, Sch Informat, Hangzhou 310018, Zhejiang, Peoples R China

[3] Univ Manchester, Manchester Business Sch, Booth St West, Manchester M15 6PB, Lancs, England

[4] Univ Chile, Dept Management Control & Informat Syst, Av Diagonal Paraguay 257, Santiago 8330015, Chile

来源：

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | 2016年 / 7卷 / 05期

基金：

中国博士后科学基金;

关键词：

DHFS; Hesitant fuzzy set; GDM; Heronian mean; Supplier selection; GEOMETRIC BONFERRONI MEANS; AGGREGATION OPERATORS; CORRELATION-COEFFICIENT; SETS; INFORMATION; ENVIRONMENT; MULTISETS; DISTANCE;

D O I：

10.1007/s13042-015-0400-3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The concept of dual hesitant fuzzy set arising from hesitant fuzzy set is generalized by including a function reflecting the decision maker's fuzziness about the non-membership degree of the information provided. This paper studies some dual hesitant fuzzy information aggregation operators for aggregating dual hesitant fuzzy elements, such as dual hesitant fuzzy Heronian mean operator and dual hesitant fuzzy geometric Heronian mean operator. The research resulting dual hesitant fuzzy information aggregation operators finds an important role in group decision making (GDM) applications. It can fusion the experts' opinion to the comprehensive ones and based on which an optimal decision making scheme can be determined. The properties of the proposed operators are studied and the application on GDM are investigated. The effectiveness of the GDM method is demonstrated on the case study about supplier selection.

引用

页码：819 / 831

页数：13

共 50 条

[21] Hesitant-intuitionistic Fuzzy Preference Relation and Its Application in Group Decision Making
Yu, Jintao
Wang, Jinshan
[J]. PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 6111 - 6115
[22] Correction to: Weighted hesitant fuzzy soft set and its application in group decision making
Xi Wen
[J]. Granular Computing, 2023, 8 : 1607 - 1607
[23] MULTIPLICATIVE CONSISTENCY OF HESITANT FUZZY PREFERENCE RELATION AND ITS APPLICATION IN GROUP DECISION MAKING
Liao, Huchang
Xu, Zeshui
Xia, Meimei
[J]. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2014, 13 (01) : 47 - 76
[24] A multiple attribute interval type-2 fuzzy group decision making and its application to supplier selection with extended LINMAP method
Qin, Jindong
Liu, Xinwang
Pedrycz, Witold
[J]. SOFT COMPUTING, 2017, 21 (12) : 3207 - 3226
[25] Hesitant Fuzzy Linguistic Term Sets for Group Decision Making in Supplier Performance Evaluation
Seth, Taniya
Gupta, Prashant K.
Muhuri, Pranab K.
[J]. 2018 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2018,
[26] A multiple attribute interval type-2 fuzzy group decision making and its application to supplier selection with extended LINMAP method
Jindong Qin
Xinwang Liu
Witold Pedrycz
[J]. Soft Computing, 2017, 21 : 3207 - 3226
[27] Hesitant Bipolar Fuzzy Set and Its Application in Decision Making
Han, Ying
Luo, Qi
Chen, Sheng
[J]. FUZZY SYSTEMS AND DATA MINING II, 2016, 293 : 115 - 120
[28] Hesitant fuzzy-based integrated multi-criteria group decision-making model for supplier selection
Islam, Md. Mohibul
Arakawa, Masahiro
[J]. JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 2022, 16 (04):
[29] An Interval-Valued Hesitant Fuzzy Ranking Method based on Group Decision Analysis for Green Supplier Selection
Darabi, Shiva
Heydari, Jafar
[J]. IFAC PAPERSONLINE, 2016, 49 (02): : 12 - 17
[30] Dual Intuitionistic Fuzzy Sets and Its Application in Group Decision Making
Wu, Liang
Zhuang, Ya-ming
[J]. 2014 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2014), 2014, : 525 - 530

← 1 2 3 4 5 →