A new optimal consensus method with minimum cost in fuzzy group decision

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摘要

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.

论文关键词:Minimum cost consensus,Group decision making,Fuzzy sets,Maximum compromise,Fuzzy opinions aggregation

论文评审过程:Received 1 January 2012, Revised 11 March 2012, Accepted 13 April 2012, Available online 3 May 2012.

论文官网地址:https://doi.org/10.1016/j.knosys.2012.04.015