An optimal feedback model to prevent manipulation behavior in consensus under social network group decision making
… Herrera-Viedma, “Trust based consensus model for social network in an incomplete … , “Social
network group decision making: Managing self-confidence-based consensus model with …
network group decision making: Managing self-confidence-based consensus model with …
Trust Cop-Kmeans clustering analysis and minimum-cost consensus model considering voluntary trust loss in social network large-scale decision-making
… Herrera, “Social network group decision making: Managing self-confidence-based
consensus model with the dynamic importance degree of experts and trust-based feedback …
consensus model with the dynamic importance degree of experts and trust-based feedback …
Self-confidence Fermatean fuzzy trust network-driven consensus fusion framework: A new energy vehicle power battery recycling service outlet selection
S Luo, J Liu - Expert Systems with Applications, 2024 - Elsevier
… support framework is developed to solve large-scale group decision-making problems with
… consensus process under social network group decision-making, an optimal feedback model …
… consensus process under social network group decision-making, an optimal feedback model …
A novel two-stage multi-criteria decision-making method based on interval-valued Pythagorean fuzzy aggregation operators with self-confidence levels
Y Ji, Y Xu, S Qu, Z Xu, Z Wu, M Nabe - Arabian Journal for Science and …, 2021 - Springer
… the theory of IPFS to social networks, so as to … a model to determine the dynamic weights
of experts, which considers the self-confidence level of consensus problems in social networks. …
of experts, which considers the self-confidence level of consensus problems in social networks. …
Punishment-driven consensus reaching model in social network large-scale decision-making with application to social capital selection
… We aim to explore whether a high-trust but low-consensus … , and how to design the
corresponding consensus model. A high trust … a self-confidence-based consensus approach for …
corresponding consensus model. A high trust … a self-confidence-based consensus approach for …
A minimum-cost consensus model in social networks derived from uncertain preferences
Z Gong, X Ma, W Guo, G Wei… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… Currently, the cost of making individual decisions and the similarity between experts’ decision
behaviors are relatively less addressed in the social network decision process. Therefore, …
behaviors are relatively less addressed in the social network decision process. Therefore, …
Constrained community detection and multistage multicost consensus in social network large-scale decision-making
… Herrera-Viedma, “Trust based consensus model for social network in an incomplete … , “Social
network group decision making: Managing self-confidence-based consensus model with …
network group decision making: Managing self-confidence-based consensus model with …
A trust risk dynamic management mechanism based on third-party monitoring for the conflict-eliminating process of social network group decision making
… of social network group decision making (SNGDM) through third-party monitoring. A trust risk
analysis-based conflict-eliminating model for … There are two types of consensus models for …
analysis-based conflict-eliminating model for … There are two types of consensus models for …
Consensus reaching based on social influence evolution in group decision making
… Herrera, “Social network group decision making: Managing self-confidence-based
consensus model with the dynamic importance degree of experts and trust-based feedback …
consensus model with the dynamic importance degree of experts and trust-based feedback …
Social Network Large-Scale Decision-Making
… Social network group decision making: Managing self-confidence-based consensus model
with the … and opinion dynamics in social networks and group decision making frameworks. …
with the … and opinion dynamics in social networks and group decision making frameworks. …