Paper Info
Title
A dynamic expert contribution-based consensus model for hesitant fuzzy group decision making with an application to water resources allocation selection
Abstract
This research focuses on group decision making (GDM) under hesitant fuzzy condition. All experts (decision makers) are allowed to use hesitant fuzzy preference relations (HFPRs) to express their opinions. Subsequently, a dynamically expert contribution-based consensus model is developed for GDM with HFPRs. In the proposed method, a combination of a weight update model and a preference adjustment model is applied to consensus reaching processes (CRPs). In the weight update model, we propose to dynamically update experts’ weights according to their contributions in the CRPs. In the preference adjustment model, only the preferences which are far away from the expected values are modified, aiming to retain the experts’ original information as much as possible. Finally, the proposed model is applied to water resources allocation selection to show how it works in practice. And some comparisons and discussions are given to show the advantages of the proposed method.
Year
DOI
Venue
2020
10.1007/s00500-019-04229-3
Soft Computing
Keywords
Field
DocType
Hesitant fuzzy preference relation, Consensus, Weight changing, Water resources allocation
Computer science,Fuzzy logic,Operations research,Artificial intelligence,Fuzzy group decision making,Water resources,Machine learning,Consensus model,Group decision-making
Journal
Volume
Issue
ISSN
24
6
1432-7643
Citations 
PageRank 
References 
2
0.35
0
Authors
3
Name
Order
Citations
PageRank
Yejun Xu1253.98
Xia Liu24915.99
Xu Lizhong315524.51