Bayesian rough set model based on multiple decision classes

For the limitation that traditional Bayesian rough set model theory can only deal with the situation of two decision classes,a Bayesian rough set model based on multiple decision classes is proposed,which can deal with the problem of multiple decision classes.On this condition,a γ dependency function is defined to evaluate the condition attributes significance to decision attributes,and is proved that the function is monotonic increase with condition attributes.Finally,an algorithm to compute attribute weight is proposed based on the monotonic property of γ dependency function.The simulation result of the model using the practical data from a steel plant's 150 ton converter shows the effectiveness and practicality of this model.