¹ Electronic Information Engineering College, Henan University of Science and Technology, Luoyang Henan 471003, China
² National Lab. Of Software Development Environment, Beijing University of Aeronautics & Astronautics, Beijing, 100191, China
³ School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031,China.

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Abstract—Through changing the equivalence relation in the incomplete information system, a new variable precision rough set model and an approach for knowledge reduction are proposed. To overcome no monotonic property of the lower approximation, a cumulative variable precision rough set model is explored, and the basic properties of cumulative lower and upper approximation operators are investigated. The example proves that the cumulative variable precision rough set model has wide range of applications and better result than variable precision rough set model.

Index Terms—Variable precision rough set, Incomplete information system, Decision table, Cumulative approximation

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Cite: Shibao Sun, Ruijuan Zheng, Qingtao Wu, Tianrui Li, " VPRS-Based Knowledge Discovery Approach in Incomplete Information System," Journal of Computers vol. 5, no. 1, pp. 110-116, 2010.