Learning personalized individual semantics through the data of distributed linguistic preference relations: A two-stage method to support linguistic consensus reaching
Distribution linguistic preference relation (DLPR) is an effective tool to model linguistic
preferences with multiple linguistic terms, and has widespread adoption in the linguistic …
preferences with multiple linguistic terms, and has widespread adoption in the linguistic …
Managing consistency and consensus issues in group decision-making with self-confident additive preference relations and without feedback: a nonlinear …
Preference relations are one of the most common tools used to represent decision makers'
preferences. Self-confident preference relations, whose preference elements include self …
preferences. Self-confident preference relations, whose preference elements include self …
An approach to prevent weight manipulation by minimum adjustment and maximum entropy method in social network group decision making
In social network group decision making (SN-GDM) problem, subgroup weights are mostly
unknown, many approaches have been proposed to determine the subgroup weights …
unknown, many approaches have been proposed to determine the subgroup weights …
An influence network-based consensus model for large-scale group decision making with linguistic information
S Yao, M Gu - International Journal of Computational Intelligence …, 2022 - Springer
The vast majority of the existing social network-based group decision-making models
require extra information such as trust/distrust, influence and so on. However, in practical …
require extra information such as trust/distrust, influence and so on. However, in practical …
A clustering method with historical data to support large-scale consensus-reaching process in group decision-making
K Xiong, Y Dong, S Zhao - International Journal of Computational …, 2022 - Springer
With the rapid development of information technology and social network, the large-scale
group decision-making (LSGDM) has become more and more popular due to the fact that …
group decision-making (LSGDM) has become more and more popular due to the fact that …
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 …
Consistency and consensus reaching process for group decision making based on complete interval distributed preference relations under social network analysis
Group decision-making (GDM) problems often consist of many indeterminacy factors in
realistic situation. How to cope with consistency and consensus under uncertain …
realistic situation. How to cope with consistency and consensus under uncertain …
A linguistic information granulation model and its penalty function-based co-evolutionary PSO solution approach for supporting GDM with distributed linguistic …
This study focuses on linguistic information operational realization through information
granulation in group decision-making (GDM) scenarios where the preference information …
granulation in group decision-making (GDM) scenarios where the preference information …
Opinion dynamics in social networks under competition: the role of influencing factors in consensus-reaching
The rapid development of information technology and social media has provided easy
access to the vast data on individual preferences and social interactions. Despite a series of …
access to the vast data on individual preferences and social interactions. Despite a series of …
Intelligent decision support and fusion models for fault detection and location in power grids
Computational intelligence-based diagnostic frameworks have emerged as rapidly evolving
but highly efficient approaches for diagnosing faults in power grids. This work aims to build a …
but highly efficient approaches for diagnosing faults in power grids. This work aims to build a …