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Article . 2010 . Peer-reviewed

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

Name: The Construction of Decision Tree Information Processing System Based on Rough Set Theory
Creator: Wei-jun Wen
Keywords: 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2010Publisher:IEEEJournal:2010 Third International Symposium on Information Processing

Authors: Wei-jun Wen;

doi: 10.1109/isip.2010.147

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

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Abstract

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.

Related Organizations

Qingdao University of Science and Technology
China (People's Republic of)

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