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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Bibliographic Details
Published in2010 International Conference on Future Information Technology and Management Engineering Vol. 2; pp. 412 - 415
Main Author Li XiaoPing
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Group decision-making theory
inertia particle swarm optimization algorithm
Manganese
preference convergence Model
PSO
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ISBN1424490871
9781424490875
DOI10.1109/FITME.2010.5656221

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Summary: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.
ISBN:1424490871
9781424490875
DOI:10.1109/FITME.2010.5656221