Group hierarchical DEMATEL method for reaching consensus

YW Du, XL Shen - Computers & Industrial Engineering, 2023 - Elsevier
Most existing decision-making trial and evaluation laboratory (DEMATEL) methods are only
suitable for small and simple systems, and do not consider whether expert consensus has …

Blockchain solutions for trustworthy decentralization in social networks

F Mlika, W Karoui, LB Romdhane - Computer Networks, 2024 - Elsevier
The influence of blockchain on technology, especially in the field of finance, has brought
about the age of cryptocurrencies and decentralized control, spreading its impact across …

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 mathematical programming method based on prospect theory for online physician selection under an R-set environment

G Tang, X Zhang, B Zhu, H Seiti, F Chiclana, P Liu - Information Fusion, 2023 - Elsevier
This study develops an R-mathematical programming method for multiple attribute group
decision-making (MAGDM) problems with assessment values of alternatives and truth …

Minimum conflict consensus models for group decision-making based on social network analysis considering non-cooperative behaviors

Y Yuan, C Wang, D Cheng, F Zhang, Z Zhou, F Cheng - Information Fusion, 2023 - Elsevier
Decision makers (DMs) may exhibit non-cooperative behaviors such as deviating from
recommendations or making only minor modifications in consensus-based group decision …

Ordinal-cardinal consensus analysis for large-scale group decision making with uncertain self-confidence

F Meng, D Zhao, C Tan, Z Li - Information Fusion, 2023 - Elsevier
Consensus analysis is necessary for large-scale group decision making (LSGDM) for
ensuring reasonable decision results. This paper offers a new method for LSGDM with …

Social network group decision-making for probabilistic linguistic information based on GRA

P Li, Z Xu, J Liu, C Wei - Computers & Industrial Engineering, 2023 - Elsevier
In group decision-making problems, decision-makers typically use probabilistic linguistic
term sets (PLTSs) to express their evaluation opinions. This paper focuses on the social …

Multi-attribute strategic weight manipulation with minimum adjustment trust relationship in social network group decision making

Y Liu, H Liang, Y Dong, Y Cao - Engineering Applications of Artificial …, 2023 - Elsevier
In social network group decision making (SNGDM), multi-attribute strategic weight
manipulation refers to adjusting expert trust relationships to determine a strategic attribute …

A consensus model based on social network analysis in large-scale group decision making: mining and managing trust risk behaviors

M Li, L Qiu, Y Xu, X Liu, G Kou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In traditional social network analysis-based large-scale group decision making (LSGDM),
decision makers (DMs) often trust others based on social prestige/status without sufficient …

Consensus-reaching process in multi-stage large-scale group decision-making based on social network analysis: Exploring the implication of herding behavior

X Sun, J Zhu, J Wang, IJ Pérez-Gálvez, FJ Cabrerizo - Information Fusion, 2024 - Elsevier
Multi-stage large-scale group decision-making refers to a decision-making system with a
large number of democratic evaluations provided by decision-makers and a multi-stage …