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CLC number: O159; O22

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2015-12-30

Cited: 0

Clicked: 8160

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Xiao-xiong Zhang

http://orcid.org/0000-0002-3524-7543

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Frontiers of Information Technology & Electronic Engineering  2016 Vol.17 No.3 P.237-249

http://doi.org/10.1631/FITEE.1500198


A consensus model for group decision making under interval type-2 fuzzy environment


Author(s):  Xiao-xiong Zhang, Bing-feng Ge, Yue-jin Tan

Affiliation(s):  College of Information System and Management, National University of Defense Technology, Changsha 410073, China

Corresponding email(s):   zxxandxx@163.com

Key Words:  Group decision making (GDM), Interval type-2 fuzzy sets (IT2 FSs), Feedback mechanism



Abstract: 
We propose a new consensus model for group decision making (GDM) problems, using an interval type-2 fuzzy environment. In our model, experts are asked to express their preferences using linguistic terms characterized by interval type-2 fuzzy sets (IT2 FSs), because these can provide decision makers with greater freedom to express the vagueness in real-life situations. Consensus and proximity measures based on the arithmetic operations of IT2 FSs are used simultaneously to guide the decision-making process. The majority of previous studies have taken into account only the importance of the experts in the aggregation process, which may give unreasonable results. Thus, we propose a new feedback mechanism that generates different advice strategies for experts according to their levels of importance. In general, experts with a lower level of importance require a larger number of suggestions to change their initial preferences. Finally, we investigate a numerical example and execute comparable models and ours, to demonstrate the performance of our proposed model. The results indicate that the proposed model provides greater insight into the GDM process.

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