Abstract
The consensus reaching process (CRP) is essential to obtain a final solution in group decision making (GDM). This paper focuses on constructing a consensus mechanism where decision makers (DMs) use linguistic term sets (LTSs) to express their preferences. LTSs can describe real decision making well. Adjusting opinions can improve the consensus level, we assume that the adjusted opinion combines an initial preference and a referenced preference. The subjective behavior characteristics expressed by DMs would affect the CRP. To simulate human behavior, quantum probability theory is applied to aggregate referenced opinions, reflecting the interference effect caused by subjective beliefs flowing toward decision classification paths. The paths are composed of the clusters with the highest consensus and consistency degrees. Moreover, the combination is generated based on the subjective willingness defined by the consensus position of the recognized DM in the group. An optimization model is set to control individual consistency after implementing modifications. Finally, a numerical example illustrates the principle of the constructed model.
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