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 new integrated multi-attribute decision-making approach for mobile medical app evaluation under q-rung orthopair fuzzy environment

G Tang, Y Yang, X Gu, F Chiclana, P Liu… - Expert Systems with …, 2022 - Elsevier
Mobile medical app evaluation can be modelled as a multi-attribute decision-making
(MADM) problem with multiple assessment attributes. Due to the increasing complexity and …

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 …

A global optimization feedback model with PSO for large scale group decision making in hesitant fuzzy linguistic environments

MK Zhao, J Guo, J Wu, ZS Xu - Expert Systems with Applications, 2023 - Elsevier
In an increasingly complex and uncertain decision-making environment, large-scale group
decision-making (LSGDM) can offer a more efficient method, allowing a large number of …

Group decision making based on relative projection between fuzzy preference relations

ZL Liu, F Liu, JW Zhang, XH Chen - Computers & Industrial Engineering, 2023 - Elsevier
Group decision making (GDM) has been widely focused on for coping with the complexity of
a practical decision making problem. This paper proposes a relative projection-driven GDM …

Large-scale group hierarchical DEMATEL method with automatic consensus reaching

YW Du, XL Shen - Information Fusion, 2024 - Elsevier
Decision-making trial and evaluation laboratory (DEMATEL) is widely used because of its
ability to effectively analyze nonlinear relationships between factors in complex systems …

Efficacy prediction based on attribute and multi-source data collaborative for auxiliary medical system in developing countries

G Yu, J Wu - Neural Computing and Applications, 2022 - Springer
Non-small cell lung cancer is one of the acute diseases threatening human life. In many
developing countries, there are medical problems such as large populations …

An integrated method for complex heterogeneous multi-attribute group decision-making and application to photovoltaic power station site selection

SP Wan, H Wu, JY Dong - Expert Systems with Applications, 2024 - Elsevier
This paper abstracts the complex heterogeneous multi-attribute group decision-making
(CHMAGDM) characterized by two-layer decision-makers (DMs), individual attribute sets …

A study on exit and entry mechanism and evolution of relationships between decision makers for multistage large-scale group decision-making problems

GR Yang, X Wang, YX Liu, SP Lin, JD Xu - Expert Systems with …, 2024 - Elsevier
This study develops a framework for multistage large-scale group decision-making
problems. In the proposed framework, we develop an exit and entry mechanism for decision …

A consensus model for large-scale group decision making based on empathetic network analysis and its application in strategical selection of COVID-19 vaccines

X Li, H Liao - Journal of the Operational Research Society, 2023 - Taylor & Francis
Effective COVID-19 vaccines are the best weapons against the COVID-19 pandemic and
have become a strategic property of local governments. Experienced experts need to be …