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

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

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 …

In parallel with the development of information and network technology, large amounts of
data are being generated by the Internet, and data-driven methodologies are now often …

Leveraging social network trust relationships among experts to reach consensus has
become a popular topic in linguistic group decision making (GDM). However, in linguistic …

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

Two-sided matching decision making (TSMDM) problems exist widely in human being's
daily life. For practical TSMDM problems, matching objects with different culture and …

A two-fold personalized feedback mechanism is established for consensus reaching in
social network group decision-making (SN-GDM). It consists of two stages: 1) generating the …

Accidents associated with the use of construction equipment are among the leading causes
of fatal injuries in the construction industry. In particular, angle grinders are associated with a …

The proportional hesitant fuzzy linguistic term set (PHFLTS) has been effectively employed
in analyzing the group's hesitancy in linguistic group decision making (LGDM). The …