Large-scale group decision making (LSGDM) is characterized by a large number of
participators, multiple groups and a mass of decision data provided by the participators. With …

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 …

This paper investigates a consensus reaching process (CRP) considering dynamic trust in
large-scale group decision making (LSGDM). In the traditional trust-based consensus …

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

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 …

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 …

Group decision making (GDM) problems require consensus reaching processes; however,
these can be time consuming and costly. As experts change their evaluations after …

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 …

Every decision may involve risks. Real-world risk issues are usually supervised by third
parties. Decision-making may be affected by the absence of sufficient or reasonable trust or …

A novel social network based group decision making (SN-GDM) model with experts' weights
not provided beforehand and with the following four tuple information: trust; distrust; …