Nowadays, with the increasing complexity of decision-making environment, more and more
large-scale group decision making (LGDM) problems are faced. Due to the existence of …

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 …

This paper proposes a dual-path feedback consensus model based on dynamic hybrid trust
relationships to solve multi-attribute group decision-making problems in intuitionistic fuzzy …

Uncertainty distributions can help resolve the difficult problem of measuring subjective
uncertainty within a trust relationship. This paper studies trust propagation and trust network …

Clustering and the feedback mechanism in a consensus reaching process (CRP) have been
regarded as two critical components when solving the large-scale group decision-making …

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

Every decision may involve risks. Real-world risk issues are usually supervised by third
parties. Decision-making may be affected by the absence of sufficient or reasonable trust or …

Large-scale group decision-making (LSGDM) under a social network context has attracted
much attention in the field of decision science. The clustering of individual opinions and the …

Group decision-making (GDM) in large-group social network environment (LGSNE) has
attracted considerable attention in the field of decision science. Social relationships exist …

Large-scale group decision-making (LSGDM) problems have drawn general attention from
scholars. The distribution linguistic preference relation (DLPR) is a flexible and practical tool …