A large-scale group consensus reaching approach considering self-confidence with two-tuple linguistic trust/distrust relationship and its application in life cycle …

M Zhou, YQ Zheng, YW Chen, BY Cheng… - Information …, 2023 - Elsevier
Large-scale group decision making (LSGDM) is very common in real world, and especially
how to reach a relatively consensus status in a social network is a hot topic. In this paper, we …

Consensus reaching in multi-criteria social network group decision making: A stochastic multicriteria acceptability analysis-based method

P Li, Z Xu, Z Zhang, Z Li, C Wei - Information Fusion, 2023 - Elsevier
Multi-criteria social network group decision making (SNGDM) that allows decision makers
(DMs) to interact with each other has attracted increasing attention in the field of decision …

A three-way consensus model with regret theory under the framework of probabilistic linguistic term sets

J Zhu, X Ma, G Kou, E Herrera-Viedma, J Zhan - Information Fusion, 2023 - Elsevier
For multi-attribute group decision-making (MAGDM) problems, this paper proposes a three-
way consensus model based on regret theory (RT) under the framework of probabilistic …

Managing consensus in balanced networks based on opinion and trust/distrust evolutions

Q Zha, X He, M Zhan, N Lang - Information Sciences, 2023 - Elsevier
Trust and distrust relationships are both common in social interactions of group decision
making (GDM). Traditionally, trust/distrust levels are fixed in the opinion evolution process …

A maximum fairness consensus model with limited cost in group decision making

G Gong, K Li, Q Zha - Computers & Industrial Engineering, 2023 - Elsevier
Fairness has attracted extensive concern in manufacturing, service sector, and government
agencies. In group decision making (GDM), decision makers (DMs) may destroy the …

Large-scale group consensus hybrid strategies with three-dimensional clustering optimisation based on normal cloud models

W Liu, J Zhu, F Chiclana - Information Fusion, 2023 - Elsevier
Large-scale group decision-making (LSGDM) is characterised by a large number of experts
and a complex consensus reaching process. Clustering is used to divide the large group …

A large-scale consensus model to manage non-cooperative behaviors in group decision making: A perspective based on historical data

K Xiong, Y Dong, Q Zha - Expert Systems with Applications, 2023 - Elsevier
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 …

Failure mode and effect analysis (FMEA) approach based on avoidance of aggregation discrepancy

Q Zha, S Wang, W Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As a powerful forward-looking risk management technique, FMEA has been widely used for
reliability and security analysis in engineering management fields. In practice, the …

Dynamic collective opinion generation framework for digital transformation barrier analysis in the construction industry

ZS Chen, CZ Liang, YQ Xu, W Pedrycz… - Information Fusion, 2024 - Elsevier
The absence of a reliable, dynamic evaluation system has impeded early-stage industrial
research progress, particularly in the digital transformation of the construction industry …

Global feedback mechanism by explicit and implicit power for group consensus in social network

S Wang, J Wu, F Chiclana, F Ji, H Fujita - Information Fusion, 2024 - Elsevier
This paper investigates a global feedback consensus model which determines the
importance of decision makers by combining explicit and implicit Power. Explicit power is …