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 …

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 …

Nowadays, large-scale group decision making (LSGDM) has become a hot topic and
brought new challenges for the decision makers. This article proposes a framework of joint …

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 …

Recently, large-scale group decision-making in the social network context has become an
attractive research hotspot in decision science. The focus of large-scale group decision …

Recently, the consensus-reaching process (CRP) of large-scale group decision-making
(LSGDM) has attracted much attention. Trusting relationships and similar opinions among …

In large-scale group decision making events, diverse backgrounds of decision makers
(DMs) may result in various non-cooperative behaviors as they pursue personal interests …

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

A theoretical visual interaction framework to model consensus in social network group
decision making (SN-GDM) is put forward with following three main components:(1) …

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