Distributed linguistic representations are powerful tools for modelling the uncertainty and
complexity of preference information in linguistic decision making. To provide a …

Abstract The arrival of Big Data era has brought large, complex, and growing data generated
from numerous sources. Due to the power in felicitous decision making based on diverse …

In group decision making problems, there exist the situations that decision makers may use
unbalanced linguistic term sets that are not uniformly and symmetrically distributed to …

This article provides a brief tour through the main fuzzy and linguistic decision-making
trends, studies, methodologies, and models developed in the last 50 years. Fuzzy and …

Considering the vagueness frequently representing in decision data due to the lack of
complete information and the ambiguity arising from the qualitative judgment of decision …

Due to complicated decision environment and limited knowledge of decision makers,
decision makers may provide incomplete hesitant fuzzy linguistic preference relations …

Probabilistic linguistic term sets (PLTSs) can express the qualitative information of decision
makers more accurately in the complicated linguistic setting. However, the existing …

With the increase of technological and societal demands, more and more decision makers
are involved in the process of group decision making, which is called large-scale group …

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 …

Dealing with uncertainty is always a challenging problem, and different tools have been
proposed to deal with it. Recently, a new model that is based on hesitant fuzzy sets has …