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 …

With the development of big data and social computing, large-scale group decision making
(LGDM) problems attract much attention and become merging with social networks or …

In the consensus reaching process (CRP), the asymmetric trust relationships among
decision-makers (DMs) and discrepancies of DMs' opinions may exacerbate the intra-group …

This study proposes a classification-based consensus framework in social network group
decision making, which aims to classify alternatives into several ordinal classes from best to …

This paper puts forward a trust-based framework for building a recommendation mechanism
for consensus in group decision making with interval-valued intuitionistic fuzzy information. It …

In group decision making (GDM) of organization management, information interaction
usually occurs via the hierarchical social networks. In the hierarchical social networks, the …

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

Nowadays, the increasing complexity of the social environment brings much difficulty in
group decision making. The more uncertainty exists in a decision-making problem, the more …

For multi-attribute group decision-making (MAGDM) problems, this paper proposes a three-
way consensus model based on regret theory (RT) under the framework of probabilistic …

In group decision making (GDM), considering the individuals' satisfaction (ie, utilities) about
the consensus result is important. However, this issue is ignored by the extant minimum cost …