Title :
Study on the model of preference convergence in group decision making based on inertia-PSO
Author_Institution :
Dept. of Libr., Jiangxi Vocational Coll. of Finance & Econ., Jiujiang, China
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.
Keywords :
convergence; decision making; group theory; particle swarm optimisation; group decision making; inertia particle swarm optimization; knowledge propagation; preference convergence model; Manganese; Group decision-making theory; PSO; inertia particle swarm optimization algorithm; preference convergence Model;
Conference_Titel :
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location :
Changzhou
Print_ISBN :
978-1-4244-9087-5
DOI :
10.1109/FITME.2010.5656221
