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| Knowledge Representation Using Partition Granularity |
| FENG Qin-Rong1,2, MIAO Duo-Qian1,CHENG Yi1, XU Fei-Fei1 |
1.Department of Computer Science and Technology, Tongji University, Shanghai 201804
2.College of Mathematics and Computer Science, Shanxi Normal University, Linfen 041004 |
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Abstract A quantitative representation for the classification ability of knowledge is described, and a representation for knowledge is given. Firstly, the algebraic representation of main concepts in rough sets is presented. Next, the concept of partition granularity is defined, and its properties are analyzed. Finally, the equivalence between the algebraic representation of knowledge and partition granularity representation is proved.
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Received: 26 September 2007
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2009, Vol. 22 
