Paper Info
Title
Dual hesitant fuzzy group decision making method and its application to supplier selection
Abstract
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.
Year
DOI
Venue
2016
10.1007/s13042-015-0400-3
Int. J. Machine Learning & Cybernetics
Keywords
Field
DocType
DHFS, Hesitant fuzzy set, GDM, Heronian mean, Supplier selection
Optimal decision,Heronian mean,Fuzzy set operations,Fuzzy logic,Fuzzy set,Operator (computer programming),Artificial intelligence,Fuzzy group decision making,Mathematics,Group decision-making
Journal
Volume
Issue
ISSN
7
5
1868-808X
Citations 
PageRank 
References 
14
0.47
38
Authors
3
Name
Order
Citations
PageRank
dejian yu1140.47
Deng-Feng Li296846.12
Jose M. Merigo31254.42