The decision making environment has been dramatically affected by rapid developments in
society and the economy. Large-scale group decision making (LSGDM) based on social …

The main challenges in large scale group decision making (LSGDM) problem are how to
tackle with the great number of participants and how to achieve a common solution accepted …

Due to the development of network technology, large-scale group decision making (LSGDM)
has become increasingly concerned. In this paper, a k-core decomposition-based opinion …

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 …

Different feedback mechanisms have been developed in large-scale group decision-making
(GDM) to provide the decision-makers with advices for preference adjustment with the aim of …

A key issue in social network group decision making (SNGDM) is to determine the weights
(ie, social influences) of individuals. Notably, in some SNGDM scenarios, the social …

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 …

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 …

Large-scale group decision-making (LSGDM) has been widely studied to address
increasingly complex decision-making problems. The consensus-reaching process is …

Recently, large-scale group decision-making in the social network context has become an
attractive research hotspot in decision science. The focus of large-scale group decision …