This study focuses on linguistic information operational realization through information
granulation in group decision-making (GDM) scenarios where the preference information …

This study considers the linguistic information granulation in GDM scenarios where both the
outcomes of pairwise comparisons coming from decision makers (DMs) over alternatives …

This study investigates linguistic information-based granular computing for supporting multi-
attribute group decision-making where relative importance of experts/attributes, and …

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

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

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

To address the challenge of facilitating overall problem solving and improving the overall
efficiency of intelligent systems efforts through group decision making (GDM) by experts at …

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

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 …

Owing to the important role in group decision making (GDM), the consensus research has
received extensive attention from both theoretical and applied perspectives in recent years …