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《Lubrication Engineering》 2009-06
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Investigation of Application Problems on Diagnosis Knowledge Discovery Based on Rough Set Theory

Zhao Rongzhen1 Li Chao2 Zhang Youyun3(1.College of Mechano-electronics Engineering,Lanzhou University of Technology,Lanzhou Gansu 730050,China;2.College of Petrochemical Technology, Lanzhou University of Technology,Lanzhou Gansu 730050,China;3.Theory of Lubrication & Bearing Inst,Xi’an Jiaotong University,Xi’an Shaanxi 710049,China)  
The principle on the hand of knowledge operation of rough set theory was explored.The foundations realizing the knowledge discovery with the tool were found.There are a sort of knowledge inclusive relation and knowledge equation conception within knowledge in a knowledge base over same universe.The fact of knowledge rule mined out from a set of data is that knowledge containing in an original knowledge base was generalized the results into the set of knowledge particles.So,the correlative studies with regard to knowledge discovery in a special universe must use the true and effective as well as original universe data.And the data should accord the knowledge with the universe experts.It is a basic guarantee to makes the investigative results be generalized to a special engineering applications.
【Fund】: 国家自然科学基金项目(50875118);; 兰州理工大学博士基金项目(SB02200702)
【CateGory Index】: TP18
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1 XU You-Hong1 ZHU Ding-Hong2(School of Mathematics,Physics,and Information Science,Zhejiang Ocean University,Zhoushan 316004)(Ocean Tourism School,Zhejiang International Maritime College,Zhoushan 316012);Rough Set Approximations and Information Granules[J];Computer Science;2008-03
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