Numerical experimentation on structure simplification in Bayesian network

In order to use Bayesian network for a complex world, this paper proposes a framework to simplify the network structure. The framework consists of ¿elimination¿, ¿segmentation¿ and ¿aggregation¿. To verify the framework, this paper discusses the prediction problem on consumer´s preferences for the future products. The numerical experimentation shows how the framework could be applied and how it resolved the limitation of Bayesian network for the complex world.