A visual interaction consensus model for social network group decision making with trust propagation
By Jian Wu, Francisco Chiclana, Hamido Fujita, Enrique Herrera-Viedma. Knowledge-Based Systems, 2017
413 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/df9c7de05f03f7d3b9814f7cd4827613ec077c29
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Enrique Herrera-Viedma
- Francisco Chiclana
- Yucheng Dong
- Hengjie Zhang
- Jian Wu
- Francisco Herrera
- Hamido Fujita
- Gang Kou
In Computer Vision and Pattern Recognition
In Statistical and Nonlinear Physics
Citations in the corpus
- Consensus reaching in social network group decision making: Research paradigms and challenges (2018, methodology): “On the one hand, a social network allows information exchange and communication, and, therefore, provides social relationships among the decision makers [8,9,10].”
- Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination (2019, methodology): “To obtain complete information for a social network, an increasingly large body of research is devoted to investigating how to propagate relation information among members in a social organization [37, 38, 39].”
- A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust (2018, background): “A more reasonable policy is possible and desirable by which the inconsistent users can decide to implement or not the recommendation advices provided to him/her based on the affordability of their adjustment cost [17, 18, 44, 47].”