An extension of social network group decision-making based on trustrank and personas

M Cai, Y Wang, Z Gong - International Journal of Computational …, 2020 - Springer
… With the development of social networking big data, social network group decision-making
(… the determination of the decision makers’ (DMs) weights based on different social influence; (…

Large-scale group classification decision making method and its application with trust–interest dual factors in social network

X Sun, J Zhu - Applied Soft Computing, 2023 - Elsevier
… typical factors in social network, which may … group decision support system (LGDSS) that
can automatically process complex social networks and decision information from a large group

A consensus model considers managing manipulative and overconfident behaviours in large-scale group decision-making

X Liang, J Guo, P Liu - Information Sciences, 2024 - Elsevier
… results deviate from the objective facts in the decision-making process. To manage … in
decision-making, this paper investigated a novel consensus model based on social networks. A …

An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges

H Zhang, S Zhao, G Kou, CC Li, Y Dong, F Herrera - Information Fusion, 2020 - Elsevier
decision making problems, and (2) the FMMA/C in complex group decision making problems
(eg, social network, large-scale, and opinion dynamic group decision making problems). …

An influence network-based consensus model for large-scale group decision making with linguistic information

S Yao, M Gu - International Journal of Computational Intelligence …, 2022 - Springer
… The vast majority of the existing social network-based group decision-making models …
decision-making process, it is difficult to get additional information apart from opinions of decision

[HTML][HTML] From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of …

M Tang, H Liao - Omega, 2021 - Elsevier
… Different data mining and machine learning techniques such as clustering analysis,
regression, classification, social network analysis, and graph analysis can be used to deal with …

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
… In conclusion, the introduction of social network offers new opportunities and challenges for
… This section introduces the method for obtaining complete social networks. It consists of two …

Fuzzy inference based Hegselmann–Krause opinion dynamics for group decision-making under ambiguity

Y Zhao, M Xu, Y Dong, Y Peng - Information Processing & Management, 2021 - Elsevier
… a group decision-making mechanism for a group of social … of social network technologies,
group decision-making (GDM) has attracted more and more attention in the fields of decision

Measure-based group decision-making with principle-guided social interaction influence for incomplete information: A game theoretic perspective

Z Liu, Y Deng, RR Yager - IEEE Transactions on Fuzzy …, 2021 - ieeexplore.ieee.org
… Fujita, “Particle swarm optimization for trust relationship based social network group decision
making under a probabilistic linguistic environment,” Knowl.-Based Syst., vol. 200, 2020, Art…

Circular supply chain management with large scale group decision making in the big data era: The macro-micro model

TM Choi, Y Chen - Technological forecasting and social change, 2021 - Elsevier
… “large scale group decision making” and … , social network analysis is very common. As a
matter of fact, if we focus on the case with a massive amount of data in LSGDM, social network