Natural language could be a common method for individuals to specific social relationships
or self-evaluation (ie, assured or unconfident). Hence, it is important to contemplate …

To eliminate discrepancies among decision makers'(DMs') evaluations, consensus reaching
process (CRP) is important in large scale group decision-making (GDM). In CRP, trust …

This paper investigates a global feedback consensus model which determines the
importance of decision makers by combining explicit and implicit Power. Explicit power is …

Opinion evolution is a common phenomenon in social network group decision-making
(SNGDM), where the key issue is modelling trust weights among individuals. In social and …

In recent years, different feedback mechanisms have been reported in many consensus
models to improve decision levels. However, the improvement of decision level often leads …

With the enrichment of social platforms, large-scale group decision-making (LSGDM) in
social networks has gradually taken shape. In practice, experts may show limited …

Distributed k-winners-takes-all (k-WTA) neural network (k-WTANN) models have better
scalability than centralized ones. In this work, a distributed k-WTANN model with a simple …

In traditional group decision-making (GDM) and consensus reaching process (CRP), it may
raise the issue of fairness for the moderator to subjectively assign each decision-maker's …

Individuals with bounded rationality may make incorrect decisions regarding innovation
projects. Organizational decision mechanisms aim to minimize the impact of individual …

The rapid development of Web2. 0 technologies and social media platforms has developed
a new paradigm that allows many individuals to participate in decision-making processes …