Probabilistic linguistic large‐group decision‐making (LGDM) is becoming a hot topic in the
field of decision science. In general, clustering and consensus‐reaching are the two …

Nowadays, the increasing complexity of the social environment brings much difficulty in
group decision making. The more uncertainty exists in a decision-making problem, the more …

Large-group decision making (LGDM) has attracted extensive attention and has been used
to model complex decision problems. It is necessary to implement a consensus reaching …

Large-scale group decision-making (LSGDM) deals with complex decision-making
problems which involve a large number of decision makers (DMs). Such a complex scenario …

When solving group decision-making (GDM) problems, the proper values of consensus
thresholds are vital for consensus checking and improving. Decision makers are usually not …

The interactive group decision-making method with dual probabilistic linguistic term sets
(DPLTSs) is talked about in this paper. The benefit of choosing DPLTSs is that they take into …

With the rapid development of society and continual progress of science and technology,
large-scale group decision-making (LSGDM) problems are very commonly encountered in …

This paper proposes an optimal consensus model to derive weights for linguistic preference
relations (LPRs). Two indexes, an individual‐to‐group consensus index (ICI) and a …

Group decision-making (GDM) requires consensus building, because an outcome from a
consensual decision is indispensable to implement a highly acceptable solution. This paper …

Consensus reaching process (CRP) is very important for multi-criteria group decision
making (MCGDM). Recently, social network driven CRP methods have been deeply …