International Journal of Computational Intelligence Systems (Feb 2021)
Consensus Reaching Process in the Two-Rank Group Decision-Making with Heterogeneous Preference Information
Abstract
This paper proposes a novel consensus reaching process (CRP) for the two-rank group decision-making (GDM) problems with heterogeneous preference information. The methods for deriving the individual and collective preference vector are provided. And the individual and collective two-rank vectors are obtained. Then, the feedback adjustment rules are proposed. Next, an algorithm is given to describe the two-rank CRP with heterogeneous preference information. Finally, we present a practical example to illustrate the feasibility of the proposed method.
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