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Rough Set Model Based on the Dual-limited Symmetric Similarity Relation |
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PP: 11-17 |
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Author(s) |
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Yu-Ming Zhai,
Rui-Xia Yan,
Zhen-Yu Huang,
Bin Guo,
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Abstract |
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Information systems are often incomplete in object world. This paper puts forward a new rough set model in incomplete
information system. The concepts of comparable degree and reliability are proposed, and a dual-limited symmetric similarity relation is
constructed. Then a new rough set model based on dual-limited symmetric similarity relation is designed, which determines the upper
approximation, lower approximation and boundary. Meanwhile, classification granularity and accuracy of knowledge are studied. An
example presented illustrates the effectiveness and practicality of the rough set model based on the dual-limited symmetric similarity
relation. |
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