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 …

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 …

Social network group decision making (SN-GDM) provides valuable support for obtaining
agreed decision results by effectively utilizing the connected social trust relationships among …

In social network group decision-making, adjusting the opinions of decision makers is often
used to promote consensus. But decision makers are not always willing to accept the …

A two-fold personalized feedback mechanism is established for consensus reaching in
social network group decision-making (SN-GDM). It consists of two stages: 1) generating the …

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

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

With the scale of group decision making increasing, it is a crucial issue to get the utmost of
collective intelligence for seeking the optimal solution. In this study, we propose an …

This paper proposes a consensus-trust driven framework of bidirectional interaction for
social network large-group decision making. Firstly, the concepts of interaction consensus …

Social network group consensus is a hybrid cooperative and non-cooperative problem, with
the management of non-cooperative behavior as a key topic. In response, this study …