Abstract
This paper proposes a consensus model for multi-experts multi-criteria decision making (MEMCDM) problems with probabilistic linguistic term sets (PLTSs), which also considers the regret-rejoice emotions of decision makers (DMs) in their decision-making processes. Additionally, the Dempster-Shafer theory is applied to estimate the probability of the market status which is related to the perceived values of the alternatives. Moreover, an algorithm is given to determine the weight of each DM. Then, a detailed consensus procedure is proposed and an illustrative example is used to show the feasibility of the proposed model. Finally, some comparative analyses are carried out to demonstrate the advantages of the proposed consensus process.