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Study on the model of preference convergence in group decision making based on inertia-PSO

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1 Author(s)
Li XiaoPing ; Department of Library, Jiangxi Vocational College of Finance and Economics, Jiujiang, China

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.

Published in:

Future Information Technology and Management Engineering (FITME), 2010 International Conference on  (Volume:2 )

Date of Conference:

9-10 Oct. 2010