The multilevel nature of social networks and the multiple identities of decision makers (DMs)
have led to the co-existence of overlapping and non-overlapping subgroups in social …

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 …

Nowadays, more and more decision-makers (DMs) are engaging in group decision-making
(GDM) within certain social relationship networks. Therefore, understanding how to leverage …

Many consensus models in social network group decision making (SNGDM) have been
reported to obtain a collective solution despite the initial opinions of decision makers (DMs) …

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 …

Consensus reaching is essential in group decision-making (GDM) since it can mitigate
conflicts between expert opinions and promotes the further implementation of decision …

This study focuses on consensus-reaching in social network group decision-making. Using
Archimedean t-norms and t-conorms as the basis, this study introduces a family of interval …

This paper proposes a robust ordinal regression feedback consensus model based on trust
relationships for social network group decision-making problems in intuitionistic fuzzy …

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 …

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 …