In the large-scale group decision making (LSGDM) problems, it is common that some
decision makers might refuse to modify their preferences to achieve a consensus or even …

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

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

Based on the notion that cardinal consensus and ordinal consensus are of equal
importance, a novel consensus reaching model for multi-attribute large group decision …

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 …

In group decision making (GDM), individual opinions and unit adjustment costs are essential
factors in reaching a collective consensus. However, in previous studies, most scholars only …

Large-scale group decision-making problems based on social network analysis and
minimum cost consensus models (MCCMs) have recently attracted considerable attention …

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

This paper investigates a consensus reaching process (CRP) considering dynamic trust in
large-scale group decision making (LSGDM). In the traditional trust-based consensus …

Multi-stage large-scale group decision-making refers to a decision-making system with a
large number of democratic evaluations provided by decision-makers and a multi-stage …