A bargaining game is used to develop feedback mechanism for dynamic social networks
group decision making (SN-GDM). The dynamic trust relationships between experts are …

In comparison to probabilistic linguistic term sets (PLTSs), dual probabilistic linguistic term
sets (DPLTSs) reveal the complexity and uncertainty of this realistic world more accurately …

In social network group decision making (SNGDM), multi-attribute strategic weight
manipulation refers to adjusting expert trust relationships to determine a strategic attribute …

To eliminate discrepancies among decision makers'(DMs') evaluations, consensus reaching
process (CRP) is important in large scale group decision-making (GDM). In CRP, trust …

In traditional group decision making, the inconsistent experts are usually forced to make
compromises toward the group opinion to increase the group consensus level. However, the …

In combination with social networks, opinion dynamics models can effectively describe the
interaction and exchange of opinions between experts in social network group decision …

Trust relationship prediction has gained a lot of interest in online social networks as it allows
users to escape complex analysis in decision-making. However, most existing work fail to …

The linguistic q-rung orthopair fuzzy (L q-ROF) set (L q-ROFS) is an important implement in
the research area in modelling vague decision information by incorporating the advantages …

In order to incorporate linguistic information into decision making, it is necessary to apply
computing with words (CW) techniques. Traditional CW models use only single and simple …

With the enrichment of social platforms, large-scale group decision-making (LSGDM) in
social networks has gradually taken shape. In practice, experts may show limited …