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 …

Classical dynamic consensus and opinion dynamics models: A survey of recent trends and methodologies

H Hassani, R Razavi-Far, M Saif, F Chiclana, O Krejcar… - Information …, 2022 - Elsevier
Consensus reaching is an iterative and dynamic process that supports group decision-
making models by guiding decision-makers towards modifying their opinions through a …

Trust Cop-Kmeans clustering analysis and minimum-cost consensus model considering voluntary trust loss in social network large-scale decision-making

SM Yu, ZJ Du, XY Zhang, HY Luo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Social network large-scale decision-making (SN-LSDM) has attracted much attention in the
field of decision science. Clustering and consensus building are two important processes for …

Consistency and trust relationship-driven social network group decision-making method with probabilistic linguistic information

F Jin, M Cao, J Liu, L Martínez, H Chen - Applied Soft Computing, 2021 - Elsevier
Unlike other linguistic modelings, probabilistic linguistic terms can clearly describe the
importance of different linguistic terms. With respect to group decision-making (GDM) …

Consensus reaching with dynamic expert credibility under Dempster-Shafer theory

Z Hua, L Fei, H Xue - Information Sciences, 2022 - Elsevier
Consensus building is crucial in multi-criteria group decision making (MCGDM) because a
consensual decision outcome is beneficial for implementing the result. However, expert …

A new social network driven consensus reaching process for multi-criteria group decision making with probabilistic linguistic information

WC Zou, SP Wan, JY Dong, L Martínez - Information Sciences, 2023 - Elsevier
Consensus reaching process (CRP) is very important for multi-criteria group decision
making (MCGDM). Recently, social network driven CRP methods have been deeply …

Social network trust relationship environment based advanced ovarian cancer treatment decision-making model: An approach based on linguistic information with …

P Mandal, S Samanta, M Pal, ASC Ranadive - Expert Systems with …, 2023 - Elsevier
Advanced ovarian cancer is the deadliest gynecologic cancer in World. The survival rate is
not significant, and it depends on how well cancer responds to treatment. Generally, the …

A minimum adjustment consensus framework with compromise limits for social network group decision making under incomplete information

Y Yuan, D Cheng, Z Zhou - Information Sciences, 2021 - Elsevier
In consensus-based social network group decision making (SN-GDM) problems, experts
tend to refuse modifications if they exceed the limit of their maximum compromise, which …

Trust and behavior analysis-based fusion method for heterogeneous multiple attribute group decision-making

S Yu, Z Du, J Wang, H Luo, X Lin - Computers & Industrial Engineering, 2021 - Elsevier
In classical multiple attribute group decision-making (MAGDM), experts are usually required
to evaluate a predefined set of alternatives according to a predefined set of attributes …

[HTML][HTML] A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions

K Lu, H Liao - Applied Intelligence, 2022 - Springer
Healthcare Industry 4.0 refers to intelligent operation processes in the medical industry. With
the development of information technology, large-scale group decision making (GDM) …