The Construction of Decision Tree Information Processing System Based on Rough Set Theory

The article integrates decision tree with rough set, and it makes up of decision tree information processing system. Firstly it carries out pretreatment for information with rough set, which is regarded as front system of decision tree, and then forms student credit analysis system of decision tree with pretreated information. The degree of dependency of decision attribute to condition attribute, based on rough sets theory, is used in decision tree for selecting the attribute that will best separate the samples into individual classes. Student credit analysis system is introduced to verify the feasibility and necessity of above method.