This paper addresses the consistency and consensus of group decision making with intuitionistic fuzzy preference relations (IFPRs). To check the consistency of IFPRs and the consensus among experts, a new consistency index and a consensus index are introduced, respectively. By minimizing deviations of initial IFPRs and corresponding improved IFPRs, a goal program is built to improve the consistency of IFPRs and group consensus simultaneously. Finally, a novel algorithm is proposed for group decision making with IFPRs. An example of a supplier selection is provided to show the application of the proposed method.
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