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

Trust relation, as defined in Social Network Analysis (SNA), is one of the recent notions
considered in decision making. This inspired our integration of trust relation in constructing a …

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 …

Social network analysis is an efficient tool to investigate the relationships of decision‐
makers in large‐scale group decision making (LSGDM). Existing social network‐based …

A theoretical framework to consensus building within a networked social group is put
forward. This article investigates a trust based estimation and aggregation methods as part …

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 …

The preference values in group decision-making (GDM) process can differ significantly
between different experts, which may yield a low level of group consensus. Therefore …

Trust relationship is an effective basis for reducing the dimensionality of decision makers
(DMs) for group decision making (GDM) problems in the context of social networks, and …

Large-scale group decision making (LSGDM) is very common in real world, and especially
how to reach a relatively consensus status in a social network is a hot topic. In this paper, we …

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 …