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

A two-fold personalized feedback mechanism is established for consensus reaching in
social network group decision-making (SN-GDM). It consists of two stages: 1) generating the …

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

This article investigates a two-stage consensus feedback mechanism that considers different
power structures in large-scale group decision-making (LSGDM) environments. A Louvain …

In real-life decision making problems, reliability of information is one of the most concerning
factors. Accordingly, to avoid the involvement of inconsistent information in a multi-attribute …

Consensus reaching is an iterative and dynamic process that supports group decision-
making models by guiding decision-makers towards modifying their opinions through a …

Decision makers (DMs) may exhibit non-cooperative behaviors such as deviating from
recommendations or making only minor modifications in consensus-based group decision …

This paper proposes a decentralized feedback mechanism to help large-scale decision
makers (DMs) reach consensus considering the limited compromise behavior of subgroups …

The proliferation of network technology has led to the focus on large-scale group decision-
making (LSGDM). This study establishes a consensus model by constructing dynamic 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 …