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 …

A cyclic dynamic trust-based consensus model for large-scale group decision making with probabilistic linguistic information

X Tan, J Zhu, FJ Cabrerizo, E Herrera-Viedma - Applied Soft Computing, 2021 - Elsevier
This paper investigates a consensus reaching process (CRP) considering dynamic trust in
large-scale group decision making (LSGDM). In the traditional trust-based consensus …

A new social network driven consensus reaching process for multi-criteria group decision making with probabilistic linguistic information

WC Zou, SP Wan, JY Dong, L Martínez - Information Sciences, 2023 - Elsevier
Consensus reaching process (CRP) is very important for multi-criteria group decision
making (MCGDM). Recently, social network driven CRP methods have been deeply …

Opinion dynamics and minimum adjustment-driven consensus model for multi-criteria large-scale group decision making under a novel social trust propagation …

P Liu, Y Li, P Wang - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
Compared with group decision making (GDM), it is more difficult to reach a consensus in
large-scale group decision making (LSGDM) owing to the large number of decision makers …

Consensus reaching process with noncooperative behaviors in large-scale group social network environment

X You, F Hou, F Chiclana - Applied Soft Computing, 2023 - Elsevier
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 …

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 …

Managing non-cooperative behaviors in large-scale group decision making based on trust relationships and confidence levels of decision makers

GR Yang, X Wang, RX Ding, SP Lin, QH Lou… - Information …, 2023 - Elsevier
In large-scale group decision making events, diverse backgrounds of decision makers
(DMs) may result in various non-cooperative behaviors as they pursue personal interests …

On consensus reaching process based on social network analysis in uncertain linguistic group decision making: Exploring limited trust propagation and preference …

X Tan, J Zhu, I Palomares, X Liu - Information Fusion, 2022 - Elsevier
This paper explores a limited trust propagation-based consensus model considering
individual attitude for preference modification in a social networked setting with uncertain …

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 minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust

J Wu, L Dai, F Chiclana, H Fujita, E Herrera-Viedma - Information Fusion, 2018 - Elsevier
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 …