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 …

Consistency and consensus are important issues for linguistic group decision making
(GDM), which have been extensively studied by scholars. Nevertheless, most of previous …

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 …

Various linguistic expressions have been presented to model the flexibility of linguistic
preference expressions and to support the consensus reaching in linguistic group decision …

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 …

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

Linguistic distribution expressions provide a flexible way for decision makers to express their
opinions in linguistic decision making. When working with a linguistic distribution, words …

Probabilistic linguistic preference relation (PLPR) provides an effective and flexible tool with
which preference degrees of decision-makers can be captured when they vacillatingly …