This paper proposes a robust ordinal regression feedback consensus model based on trust
relationships for social network group decision-making problems in intuitionistic fuzzy …

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

With social media and e-democracy development, decision-making environments and
problems have become increasingly complex. Traditional group decision-making, including …

Natural language could be a common method for individuals to specific social relationships
or self-evaluation (ie, assured or unconfident). Hence, it is important to contemplate …

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 shift to a new era of dealing with big data has driven continuous progress and
development in computer science, artificial intelligence and machine learning. This change …

In social networks, decision makers of group decision-making (GDM) can have interactive
behaviors with different individual relationships. With large-scale group participation …

This study presents a novel risk-based decision support system for helping disaster risk
management planners select the best locations for emergency shelters after an earthquake …

In the context of social network group decision making, it is an essential step to exploit the
feedback mechanism for consensus reaching process (CRP) to obtain group-supported …

The rapid development of information technology has made social network large-scale
group decision-making (SN-LSGDM) a focus of the field of decision science. Clustering and …