Social trust network (STN) has facilitated information exchange between experts during
interactions. Some feedback mechanisms have been used to provide advices for opinion …

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

A theoretical feedback mechanism framework to model consensus in social network group
decision making (SN-GDM) is proposed with following two main components:(1) the …

Recently, large-scale group decision making (LSGDM) in social network comes into being.
In the practical consensus of LSGDM, the unit adjustment cost of experts is difficult to obtain …

A theoretical framework to deal with incomplete preference information in social network
group decision making (SN-GDM) is put forward. Firstly, the concept of the type-2 linguistic …

The trust degrees among individuals play an important role in social network group decision
making (SNGDM). They are assumed to be unchanged with the time in most of extant …

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

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

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

Consensus reaching is essential in group decision-making (GDM) since it can mitigate
conflicts between expert opinions and promotes the further implementation of decision …