Bayesian Decision Model Based on Probabilistic Rough Set with Variable Precision.

It is important to find a suitable loss function and thus produce a realistic decision-making rules in the minimum risk of Bayesian decision-making process. Generally, there is no stringent condition in the decision-making process, and if we add constraints of the risk of loss, the risk of the error will be reduced. We discuss the basic process of minimum risk of Bayesian decision, and set up the probabilistic rough set model with variable precision on Bayesian decision. The model could decrease the error risk of the Bayesian decision.