Study on the model of preference convergence in group decision making based on inertia-PSO
In this paper, we constructed a dynamic preference convergence model based on inertia particle swarm optimization (inertia-PSO) algorithm, and we explored the effect of the knowledge propagation on dynamic preference convergence process. With the model, the effect of different types of knowledge pro...
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| Published in | 2010 International Conference on Future Information Technology and Management Engineering Vol. 2; pp. 412 - 415 |
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| Main Author | |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
01.10.2010
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| Subjects | |
| Online Access | Get full text |
| ISBN | 1424490871 9781424490875 |
| DOI | 10.1109/FITME.2010.5656221 |
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| Abstract | In this paper, we constructed a dynamic preference convergence model based on inertia particle swarm optimization (inertia-PSO) algorithm, and we explored the effect of the knowledge propagation on dynamic preference convergence process. With the model, the effect of different types of knowledge propagation capability on preference convergence convergence is analyzed by simulation. Simulation results show that the higher the speed of knowledge propagation is, the more consistent the decision made is in the group. |
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| AbstractList | In this paper, we constructed a dynamic preference convergence model based on inertia particle swarm optimization (inertia-PSO) algorithm, and we explored the effect of the knowledge propagation on dynamic preference convergence process. With the model, the effect of different types of knowledge propagation capability on preference convergence convergence is analyzed by simulation. Simulation results show that the higher the speed of knowledge propagation is, the more consistent the decision made is in the group. |
| Author | Li XiaoPing |
| Author_xml | – sequence: 1 surname: Li XiaoPing fullname: Li XiaoPing email: xp2030@sina.com organization: Dept. of Libr., Jiangxi Vocational Coll. of Finance & Econ., Jiujiang, China |
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| Snippet | In this paper, we constructed a dynamic preference convergence model based on inertia particle swarm optimization (inertia-PSO) algorithm, and we explored the... |
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| StartPage | 412 |
| SubjectTerms | Group decision-making theory inertia particle swarm optimization algorithm Manganese preference convergence Model PSO |
| Title | Study on the model of preference convergence in group decision making based on inertia-PSO |
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