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 …

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 …

Optimized decision support for BIM maturity assessment

ZS Chen, MD Zhou, KS Chin, A Darko, XJ Wang… - Automation in …, 2023 - Elsevier
Building information modeling (BIM) maturity models occupy a crucial role in guiding BIM-
reliant stakeholders and enterprises to identify BIM capabilities and facilitate process …

Expertise-structure and risk-appetite-integrated two-tiered collective opinion generation framework for large-scale group decision making

ZS Chen, X Zhang, RM Rodríguez… - … on Fuzzy Systems, 2022 - ieeexplore.ieee.org
The generation of collective preference assessments occupies a critical position in deriving
accurate and reliable alternative rankings in the context of large-scale group decision …

Data-driven method to learning personalized individual semantics to support linguistic multi-attribute decision making

CC Li, Y Dong, H Liang, W Pedrycz, F Herrera - Omega, 2022 - Elsevier
In parallel with the development of information and network technology, large amounts of
data are being generated by the Internet, and data-driven methodologies are now often …

Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based …

Z Zhang, Z Li, Y Gao - Information Fusion, 2021 - Elsevier
In group decision making problems, there exist the situations that decision makers may use
unbalanced linguistic term sets that are not uniformly and symmetrically distributed to …

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 …

Heterogeneous large-scale group decision making using fuzzy cluster analysis and its application to emergency response plan selection

G Li, G Kou, Y Peng - IEEE Transactions on Systems, Man, and …, 2021 - ieeexplore.ieee.org
As the number of people involved in a decision-making problem increases, the complexity of
the group decision-making (GDM) process increases accordingly. The size of participants …

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 …