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 …

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 …

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

Clustering and the feedback mechanism in a consensus reaching process (CRP) have been
regarded as two critical components when solving the large-scale group decision-making …

For many group decision-making (GDM) issues, such as water-resource allocation, urban
resettlement, and traffic-route planning, the benefits of the decision makers (DMs) are …

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

In this paper, we propose a minimum adjustment consensus framework for the social
network group decision-making (SN-GDM) with incomplete linguistic preference relations …

Social network group decision making (SNGDM) has emerged as a new decision tool to
effectively model the social trust relationships among decision makers. The impact of the …

A promising feature for group decision making (GDM) lies in the study of the interaction
between individuals. In conventional GDM research, experts are independent. This is …