Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17397
Title: A new optimal consensus method with minimum cost in fuzzy group decision
Authors: Liu, J
Chan, FTS 
Li, Y
Zhang, Y
Deng, Y
Keywords: Fuzzy opinions aggregation
Fuzzy sets
Group decision making
Maximum compromise
Minimum cost consensus
Issue Date: 2012
Publisher: Elsevier Science Bv
Source: Knowledge-based systems, 2012, v. 35, p. 357-360 How to cite?
Journal: Knowledge-Based Systems 
Abstract: Finding group consensus plays a very important role in group decision making (GDM). In this short communication, a new optimal consensus method with minimum cost in fuzzy GDM is proposed. The main contribution of our work is that the limit of each expert's compromise is under consideration in the process of reaching group consensus. The numerical example shows the efficiency of the proposed method.
URI: http://hdl.handle.net/10397/17397
DOI: 10.1016/j.knosys.2012.04.015
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