This paper develops a new personalized individual semantic (PIS) based consensus
reaching process (CRP) for large-scale group decision making (LSGDM) with probabilistic …

A linguistic distribution assessment is an effective approach to represent uncertain
preferences in large-scale group decision making (LSGDM). The same word often signifies …

In linguistic large-scale group decision making (LSGDM), it is often necessary to achieve a
consensus. Particularly, when computing with words and linguistic decision, we must keep …

Distribution linguistic preference relations (DLPRs) that model linguistic expressions with the
aid of probabilistic distributions of multiple linguistic terms provide an effective tool to …

In computing with words, it has been stressed that words mean different things for different
people, which entails that decision makers (DMs) have personalized individual semantics …

Comparative linguistic expression preference relations (CLEPRs) are an effective tool to
represent uncertain opinions of decision makers in group decision making (GDM) …

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

Large-scale group decision-making (LSGDM) is characterised by a large number of experts
and a complex consensus reaching process. Clustering is used to divide the large group …

There are usually multiple stakeholders involved in a group decision-making (GDM)
problem. The probabilistic linguistic preference relation (PLPR) is an effective tool to …

In group decision making (GDM) process, consensus is a fundamental problem. The
information provided by the experts in a GDM problem is usually expressed as preferences …