A consensus method in social network large-scale group decision making with interval information

J Tan, Y Wang, J Chu - Expert Systems with Applications, 2024 - Elsevier
Large-scale group decision making (LSGDM) is considered when the number of experts
involved in the decision exceeds 20. Due to the large number of people involved in LSGDM …

Opinion evolution and dynamic trust-driven consensus model in large-scale group decision-making under incomplete information

Y Shen, X Ma, Z Xu, E Herrera-Viedma, P Maresova… - Information …, 2024 - Elsevier
The shift to a new era of dealing with big data has driven continuous progress and
development in computer science, artificial intelligence and machine learning. This change …

Consensus efficiency in group decision making: A comprehensive comparative study and its optimal design

H Zhang, Y Dong, F Chiclana, S Yu - European Journal of Operational …, 2019 - Elsevier
Consensus reaching processes (CRPs) aim to help decision-makers achieve agreement
regarding the solution to a common decision problem, and consequently play an …

Trust evolution based minimum adjustment consensus framework with dynamic limited compromise behavior for probabilistic linguistic large scale group decision …

WC Zou, SP Wan, JY Dong - Information Sciences, 2024 - Elsevier
To eliminate discrepancies among decision makers'(DMs') evaluations, consensus reaching
process (CRP) is important in large scale group decision-making (GDM). In CRP, trust …

Large-scale three-way group consensus decision considering individual competition behavior in social networks

D Liang, W Duan - Information Sciences, 2023 - Elsevier
In social networks, decision makers of group decision-making (GDM) can have interactive
behaviors with different individual relationships. With large-scale group participation …

Particle swarm optimization for trust relationship based social network group decision making under a probabilistic linguistic environment

X Zhou, F Ji, L Wang, Y Ma, H Fujita - Knowledge-Based Systems, 2020 - Elsevier
Group decision making (GDM) problems require consensus reaching processes; however,
these can be time consuming and costly. As experts change their evaluations after …

A two-stage social trust network partition model for large-scale group decision-making problems

T Wu, K Zhang, X Liu, C Cao - Knowledge-Based Systems, 2019 - Elsevier
With the development of big data and social computing, large-scale group decision making
(LGDM) problems attract much attention and become merging with social networks or …

Consensus reaching in group decision making with linear uncertain preferences and asymmetric costs

X Xu, Z Gong, E Herrera-Viedma, G Kou… - … on Systems, Man …, 2022 - ieeexplore.ieee.org
Consensus reaching process (CRP), as an essential part of group decision making (GDM),
can facilitate more effective consensus by taking human behaviors into account. Extending …

Minimum cost consensus model for CRP-driven preference optimization analysis in large-scale group decision making using Louvain algorithm

J Qin, M Li, Y Liang - Information Fusion, 2022 - Elsevier
Large-scale group decision-making problems based on social network analysis and
minimum cost consensus models (MCCMs) have recently attracted considerable attention …

A clustering-and maximum consensus-based model for social network large-scale group decision making with linguistic distribution

P Liu, K Zhang, P Wang, F Wang - Information Sciences, 2022 - Elsevier
Nowadays, with the increasing complexity of decision-making environment, more and more
large-scale group decision making (LGDM) problems are faced. Due to the existence of …