Knowledge Reductions in the Bayesian Rough Set Model

The Bayesian rough set model is a modified rough set model, it can avoid what Palawk rough set describes classification is precise completely, simultaneity it needn't give parameters previously like variable precision rough sets model. Hence, it acts an important role in fields of artificial intelligence and cognitive sciences. This paper gives a re- duction method of this model by upper distribution reduction and lower distribution reduction.