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
Consensus reaching process is a very powerful decision tool to eliminate the preference
conflict in group decision making. In general, the consensus is achieved by the decision …

Large-scale group decision making: a systematic review and a critical analysis

D García-Zamora, Á Labella, W Ding… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
The society in the digital transformation era demands new decision schemes such as e-
democracy or based on social media. Such novel decision schemes require the participation …

Consensus-trust driven bidirectional feedback mechanism for improving consensus in social network large-group decision making

T Gai, M Cao, F Chiclana, Z Zhang, Y Dong… - Group decision and …, 2023 - Springer
This paper proposes a consensus-trust driven framework of bidirectional interaction for
social network large-group decision making. Firstly, the concepts of interaction consensus …

A clustering-and maximum consensus-based model for social network large-scale group decision making with linguistic distribution

P Liu, K Zhang, P Wang, F Wang - Information Sciences, 2022 - Elsevier
Nowadays, with the increasing complexity of decision-making environment, more and more
large-scale group decision making (LGDM) problems are faced. Due to the existence of …

An online reviews-driven large-scale group decision making approach for evaluating user satisfaction of sharing accommodation

F Ji, Q Cao, H Li, H Fujita, C Liang, J Wu - Expert Systems with Applications, 2023 - Elsevier
To promote the development of the peer-to-peer (P2P) accommodation in sharing economy,
it is important to understand and ensure the determinants of high-level user satisfaction …

[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
Abstract The arrival of Big Data era has brought large, complex, and growing data generated
from numerous sources. Due to the power in felicitous decision making based on diverse …

Personalized individual semantics based consensus reaching process for large-scale group decision making with probabilistic linguistic preference relations and …

SP Wan, J Yan, JY Dong - Expert Systems with Applications, 2022 - Elsevier
This paper develops a new personalized individual semantic (PIS) based consensus
reaching process (CRP) for large-scale group decision making (LSGDM) with probabilistic …

Consensus efficiency in group decision making: A comprehensive comparative study and its optimal design

H Zhang, Y Dong, F Chiclana, S Yu - European Journal of Operational …, 2019 - Elsevier
Consensus reaching processes (CRPs) aim to help decision-makers achieve agreement
regarding the solution to a common decision problem, and consequently play an …

Managing multigranular unbalanced hesitant fuzzy linguistic information in multiattribute large-scale group decision making: A linguistic distribution-based approach

Z Zhang, W Yu, L Martínez… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the increase of technological and societal demands, more and more decision makers
are involved in the process of group decision making, which is called large-scale group …

The robust maximum expert consensus model with risk aversion

Y Ji, Y Ma - Information Fusion, 2023 - Elsevier
The maximum expert consensus model (MECM) is an effective model for achieving
consensus during the consensus reaching process (CRP) in group decision making (GDM) …