Large-scale group decision-making (LSGDM) in a social network environment requires the
collaborative consideration of large-scale decision-makers, social network structure, and …

The use of incomplete probabilistic linguistic term sets (InPLTSs) can enrich the flexibility of
qualitative decision-making information expression, especially in decision-making situations …

Experts are assumed to be mutually independent and incomplete decision matrices are
used, in traditional large-scale group decision-making (LSGDM). Social network analysis …

This article proposes a novel framework to manage subgroups' noncooperative behavior by
weight penalty in large-scale group decision making. To do that, a trust-consensus index …

The consensus reaching process (CRP) is a dynamic and iterative process for improving the
consensus level among experts in group decision making. A large number of non …

In large-scale group decision making (GDM), noncooperative behavior in the consensus
reaching process (CRP) is not unusual. For example, some individuals might form a small …

The main challenges in large scale group decision making (LSGDM) problem are how to
tackle with the great number of participants and how to achieve a common solution accepted …

This paper investigates how to conduct bidirectional feedback mechanism by establishing
trust chains in social network group decision making (SN-GDM), which is more applicable …

Compared with group decision making (GDM), it is more difficult to reach a consensus in
large-scale group decision making (LSGDM) owing to the large number of decision makers …

In real decision making, due to the limitation of knowledge, problem complexity and time
pressure, it is natural that decision makers express their opinions with incomplete linguistic …