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

In consensus-based social network group decision making (SN-GDM) problems, experts
tend to refuse modifications if they exceed the limit of their maximum compromise, which …

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) …

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

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

Due to the development of intelligent decision-making, social network group decision-
making (SNGDM) has become increasingly valued. Generally, real SNGDM cases involve …

Large-scale group decision-making (LSGDM) problems have drawn general attention from
scholars. The distribution linguistic preference relation (DLPR) is a flexible and practical tool …

A theoretical feedback mechanism framework to model consensus in social network group
decision making (SN-GDM) is proposed with following two main components:(1) the …

Consensus reaching process (CRP) is very important for multi-criteria group decision
making (MCGDM). Recently, social network driven CRP methods have been deeply …

This study proposes a classification-based consensus framework in social network group
decision making, which aims to classify alternatives into several ordinal classes from best to …