| Title | Group decision opinion evolution and simulation based on community and individual influence power |
|---|---|
| ID_Doc | 14219 |
| Authors | Guo, CX; Shi, RL; Jin, MZ |
| Title | Group decision opinion evolution and simulation based on community and individual influence power |
| Year | 2017 |
| Published | Journal Of Intelligent & Fuzzy Systems, 33, 5 |
| Abstract | The reality of group decision problem is often a complex large group problem, and because of the influence of the factors such as personality, psychology, values and connection degree, group members can form different community organizations. The structure of community organizations and the individual influence index of member have a significant influence on the decision results. On the basis of individual influence index as well as recessive community organization, considering the individual heterogeneity and the community in group, the article put forward an individual interaction and opinion evolution model of dynamic group decision-making which is more accord with the actual group behavior, and the feasibility and effectiveness of the model proposed in this paper are illustrated with simulation experiments by matlab platform. The simulation results show that the number of the community in group decision could affect the evolution of the group opinion, as well as the nature of the community, semi-open type of community not only does not prevent the convergence point of view, it will facilitate decision-making reached a certain extent. In addition, the change of community nature and amount will have an impact on the convergence point of view. |
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