Linguistic term sets are usually preferred to represent evaluations and preferences in
qualitative group decision making (QGDM). Due to the different backgrounds and levels of …

Probabilistic linguistic term set (PLTS) conveys the preference for a linguistic term by
assigning a probability distribution, which can more correctly and flexibly reflect the decision …

The probabilistic linguistic preference relation (PLPR) reflects different preference degrees
(or weights) of experts over possible linguistic terms and improves the flexibility for experts in …

This paper develops a new personalized individual semantic (PIS) based consensus
reaching process (CRP) for large-scale group decision making (LSGDM) with probabilistic …

When solving group decision-making (GDM) problems, the proper values of consensus
thresholds are vital for consensus checking and improving. Decision makers are usually not …

The probabilistic linguistic term set (PLTS) is an effective tool for properly modelling the
uncertainty and complexity of participants' linguistic preferences. Considering that some …

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 …

Opinion dynamics are investigated extensively to describe the process of opinion formation
in groups of individuals. Most of the existing opinion dynamics models assume that the …

Incomplete linguistic preference relations (InLPRs) are generally inevitable in group
decision making problems due to several reasons. Two vital issues of InLPRs are the …

This paper focuses on qualitative multi-attribute group decision making (MAGDM) with
linguistic information in terms of single linguistic terms and/or flexible linguistic expressions …