Optimizing consensus reaching in the hybrid opinion dynamics in a social network•
Hybrid opinion dynamics which involves two types of individuals (ie, leaders and followers)
communicate in real time and share opinions and knowledge have been widely used in …
communicate in real time and share opinions and knowledge have been widely used in …
Trust risk test-based group consensus with probabilistic linguistic preference relations under social networks
X Han, J Zhan, Z Xu, L Mart - IEEE Transactions on Fuzzy …, 2024 - ieeexplore.ieee.org
Social networks are gaining importance as an important application landscape for machine
learning techniques. Currently, it is prevalent thinking to introduce social networks into group …
learning techniques. Currently, it is prevalent thinking to introduce social networks into group …
An adaptive consensus model in large-scale group decision making with noncooperative and compromising behaviors
In recent years, different feedback mechanisms have been reported in many consensus
models to improve decision levels. However, the improvement of decision level often leads …
models to improve decision levels. However, the improvement of decision level often leads …
Optimization consensus modeling of a closed-loop carbon quota trading mechanism regarding revenue and fairness
Consensus modeling aims to obtain collective agreement through group decision-making
(GDM), generally by building mathematical programming models. This paper describes the …
(GDM), generally by building mathematical programming models. This paper describes the …
A Sequential Three-Way Decision-Based Group Consensus Method With Regret Theory Under Interval Multi-Scale Decision Information Systems
The advancement of computational intelligence has led to the increased application of
intelligent methods across various fields, including management, psychology, and machine …
intelligent methods across various fields, including management, psychology, and machine …
Maximum expert consensus model with uncertain adjustment costs for social network group decision making
Y Ma, Y Ji, D Qu, X Zhang, L Wang - Information Fusion, 2024 - Elsevier
In the realm of group decision making (GDM), the maximum expert consensus model
(MECM) emerges as a potent tool for consensus optimization. The complexity of decision …
(MECM) emerges as a potent tool for consensus optimization. The complexity of decision …
Large-scale group decision-making involving community representatives: A perspective of combining strong and weak ties
T Wu - Information Fusion, 2024 - Elsevier
In the era of social media, the issue of large-scale group decision-making (LSGDM) is
becoming increasingly prominent. The complexity of large group interactions increases …
becoming increasingly prominent. The complexity of large group interactions increases …
Application of a maximum classification consensus approach for construction of a group ordinal classification of applicants in employee recruitment
With the intensification of market competition, recruiting appropriate employees has become
one of the most critical factors for organisation development. In employee recruitment, it may …
one of the most critical factors for organisation development. In employee recruitment, it may …
An overlap graph model for large‐scale group decision making with social trust information considering the multiple roles of experts
Social network analysis is an efficient tool to investigate the relationships of decision‐
makers in large‐scale group decision making (LSGDM). Existing social network‐based …
makers in large‐scale group decision making (LSGDM). Existing social network‐based …
H-rank consensus models for fuzzy preference relations considering eliminating rank violations
Fuzzy preference relations (FPRs) have been widely used when ranking alternatives using
pairwise comparison. However, when the FPRs have rank violations, the ranking results …
pairwise comparison. However, when the FPRs have rank violations, the ranking results …