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 …

[HTML][HTML] Inventive problem-solving map of innovative carbon emission strategies for solar energy-based transportation investment projects

G Kou, S Yüksel, H Dinçer - Applied Energy, 2022 - Elsevier
The transportation sector is also of great importance in terms of carbon emission problem.
Significant amount of carbon dioxide is emitted into the atmosphere due to the use of fossil …

Personalized individual semantics-based consistency control and consensus reaching in linguistic group decision making

Z Zhang, Z Li - IEEE Transactions on Systems, Man, and …, 2021 - ieeexplore.ieee.org
Consistency and consensus are important issues for linguistic group decision making
(GDM), which have been extensively studied by scholars. Nevertheless, most of previous …

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 …

Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high …

ZS Chen, XL Liu, KS Chin, W Pedrycz, KL Tsui… - Information …, 2021 - Elsevier
High-speed rail (HSR) has become an essential mode of public transportation in China and
is likely to remain so for the foreseeable future. To promote the development of the HSR …

Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective

RX Ding, I Palomares, X Wang, GR Yang, B Liu… - Information fusion, 2020 - Elsevier
The last decade witnessed tremendous developments in social media and e-democracy
technologies. A fundamental aspect in these paradigms is that the number of decision …

Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial …

Y Wu, Z Zhang, G Kou, H Zhang, X Chao, CC Li… - Information …, 2021 - Elsevier
Distributed linguistic representations are powerful tools for modelling the uncertainty and
complexity of preference information in linguistic decision making. To provide a …

[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 …