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 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 …

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 …

Consensus reaching with non-cooperative behavior management for personalized individual semantics-based social network group decision making

Y Gao, Z Zhang - Journal of the Operational Research Society, 2021 - Taylor & Francis
Leveraging social network trust relationships among experts to reach consensus has
become a popular topic in linguistic group decision making (GDM). However, in linguistic …

A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network

J Wu, Z Zhao, Q Sun, H Fujita - Information Fusion, 2021 - Elsevier
This paper focuses on consensus reaching process (CRP) under social network in which the
trust relationship expressed by linguistic information. A new feedback mechanism in social …

Social trust driven consensus reaching model with a minimum adjustment feedback mechanism considering assessments-modifications willingness

H Zhang, F Wang, Y Dong, F Chiclana… - … on Fuzzy Systems, 2021 - ieeexplore.ieee.org
Social network group decision making (SNGDM) has emerged as a new decision tool to
effectively model the social trust relationships among decision makers. The impact of the …

Consensus modeling with asymmetric cost based on data-driven robust optimization

S Qu, Y Han, Z Wu, H Raza - Group Decision and Negotiation, 2021 - Springer
The robust optimization method has progressively become a research hot spot as a valuable
means for dealing with parameter uncertainty in optimization problems. Based on the …

Consensus convergence in large-group social network environment: Coordination between trust relationship and opinion similarity

Z Du, S Yu, H Luo, X Lin - Knowledge-Based Systems, 2021 - Elsevier
Group decision-making (GDM) in large-group social network environment (LGSNE) has
attracted considerable attention in the field of decision science. Social relationships exist …

[HTML][HTML] An efficient consensus reaching framework for large-scale social network group decision making and its application in urban resettlement

X Chao, G Kou, Y Peng, E Herrera-Viedma… - Information Sciences, 2021 - Elsevier
Urban resettlement projects involve a large number of stakeholders and impose tremendous
cost. Developing resettlement plans and reaching an agreement amongst stakeholders …