Variable Precision Rough Set Model And Its Application

An accurate classification of the Pawlak rough set model,which are difficult to restrict its application in the real world.A new method was developed to find the decision rules in a rough set model based on the variable precision rough set model.This method is based on the dependence of the decision attributes on the condition attributes so that the decision rules are more straightforward.Recognition of the purpose of units is selected as an example.The results show that the recognition method is improved with less complex decision rule and that the unit is accurately identified.Finally,novel hybrid algorithms which are based on attribute of VPRS and SVM is presented.