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 …

A large amount of stakeholders take part in the decision-making process, usually called a
large-scale group decision-making (LGDM) problem. Some stakeholders may only provide …

Comparing probabilistic linguistic term sets (PLTSs) is quite essential in solving PLTS-
expressed multi-attribute group decision-making problems (PLTS-MAGDM). Researchers …

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 …

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 …

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 …

The alternative assessment and decision-making are often complicated and involve
enormous decision makers (DMs), which leads to a large group decision making (LGDM) …

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 …

Linguistic group decision making (LiGDM) aims at solving decision situations involving
human decision makers (DMs) whose opinions are modeled by using linguistic information …

The multi-granular probabilistic linguistic modeling allows decision makers to express
cognitive information using multiple linguistic term sets based on their preferences …