When expressing preferences in qualitative setting, several possible linguistic terms with
different weights (represented by probabilities) may be considered at the same time. The …

Multi-granular fuzzy linguistic modeling enables evaluators to express opinions with several
linguistic term sets, but it cannot simultaneously reflect hesitancy and preference degrees of …

In today's world, environmental problems are becoming increasingly serious, and countries
and regions are attaching great importance to them. Low-carbon and circular economy have …

Unlike other linguistic modelings, probabilistic linguistic terms can clearly describe the
importance of different linguistic terms. With respect to group decision-making (GDM) …

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

The location of the electric vehicle charging station is deemed to be a multiple attribute
group decision making (MAGDM) issue involving many experts and many conflicting …

Distribution linguistic preference relation (DLPR) is an effective tool to model linguistic
preferences with multiple linguistic terms, and has widespread adoption in the linguistic …

Linguistic distribution assessments with probabilistic information are a flexible means to
express the opinions of decision makers (DMs) with importance degree of each linguistic …

In practical multiple attribute group decision making (MAGDM) issues, uncertain and fuzzy
cognitive decision information is well-depicted by linguistic term sets (LTSs). These LTSs are …

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 …