Integrating experts' weights generated dynamically into the consensus reaching process and its applications in managing non-cooperative behaviors
By Yucheng Dong, Hengjie Zhang, Enrique Herrera-Viedma. Decision Support Systems, 2016
319 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Science Applications, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/94ced313ef5728de06b4a179ae99ca8d4f9e2b82
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
- Jian Wu
- Hengjie Zhang
- Hamido Fujita
- Lifang Dai
- Francisco Herrera
In Management Science and Operations Research
- Enrique Herrera-Viedma
- Francisco Chiclana
- Yucheng Dong
- Hamido Fujita
- Jian Wu
- Hengjie Zhang
- Lifang Dai
- Francisco Herrera
Citations in the corpus
- A visual interaction consensus model for social network group decision making with trust propagation (2017, background): “Therefore, they might wish to keep unaltered their independence [3, 7, 37, 40] or, if possible, to reduce changes cost [6, 8, 10, 11].”
- A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust (2018, background): “In traditional GDM models, the weights of user are usually assumed to be known beforehand [13, 16, 50, 54].”
- Consensus Building for the Heterogeneous Large-Scale GDM With the Individual Concerns and Satisfactions (2018, background): “[18] to manage noncooperative behaviors in the heterogeneous large-scale GDM with the individual concerns and”