Incomplete preferences have become increasingly common in light of the redundancy of
information and time-related pressures. Incomplete fuzzy preference relations (IFPRs) have …

A group decision making (GDM) problem is often modeled by using a reciprocal preference
relation (RPR) structure. Linguistic information is widely used in RPRs to depict its …

Existing consensus models focus on improving the group consensus level, but ignore
whether a higher group consensus level means higher mutual acceptance of decision …

The use of dual probabilistic linguistic term sets (DPLTSs) to represent the use's preferences
in decision making can reflect the decision maker's cognitive certainty and uncertainty …

In this paper, we propose a minimum adjustment consensus framework for the social
network group decision-making (SN-GDM) with incomplete linguistic preference relations …

In many decision making problems, the experts are not able to provide accurate preferences
among the alternatives but some kind of partial orders with certain belief degrees, due to …

We develop a new compatibility for the uncertain additive linguistic preference relations and
utilize it to determine the optimal weights of experts in the group decision making (GDM) …

Incomplete probabilistic linguistic term sets (InPLTSs) can effectively describe the qualitative
pairwise judgment information in uncertain decision-making problems, making them suitable …

In this paper, we present an adaptive consensus support model for group decision making
systems based on intervals of linguistic 2-tuples. The proposed method has the following …

The minimum cost consensus model (MCCM) aims at reaching group consensus for either
conflict or polarized opinions evaluated in group decision making. Decision makers (DMs) …