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《Journal of Northeastern University(Natural Science)》 2008-01
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On the Discretization Algorithm Based on Fuzzy Rough Set for Continuous System Variables

ZHANG Hua-guang1,2,XU Yue2,SUN Qiu-ye2(1.Key Laboratory of Integrated Automation of Process Industry,Ministry of Education,Northeastern University,Shenyang 110004,China;2.School of Information Science & Engineering,Northeastern University,Shenyang 110004,China.)  
A new discretization algorithm based on fuzzy rough set with the number of breakpoints reduced is put forward and discussed,taking account of the supportability and confidence of its rules and the relation between them.Taking the discretization indices of attributes as criteria,the indices are proved the sufficient conditions for complete discretization.Discusses the effectiveness of the algorithm in view of the time and space complexity and compares the algorithm with similar ones.It is found that the algorithm can reduce the time and space complexity efficiently,thus avoiding the drawbacks often found in other conventional algorithms.Its effectiveness and practicality are verified through a numerical example applying it to fault diagnose for power network.
【Fund】: 国家自然科学基金资助项目(60325311;60572070);; 国家自然科学基金重点资助项目(60521003)
【CateGory Index】: TP18
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