Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
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Rough Sets: Theoretical Aspects of Reasoning about Data
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International Journal of Approximate Reasoning
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Information Sciences: an International Journal
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International Journal of Approximate Reasoning
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International Journal of Approximate Reasoning
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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International Journal of Approximate Reasoning
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Information Sciences: an International Journal
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International Journal of Approximate Reasoning
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International Journal of Approximate Reasoning
An Interval-Valued Intuitionistic Fuzzy Rough Set Model
Fundamenta Informaticae
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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International Journal of Approximate Reasoning
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Information Sciences: an International Journal
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International Journal of Approximate Reasoning
Minimal Description and Maximal Description in Covering-based Rough Sets
Fundamenta Informaticae
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Rough set theory is an important technique in knowledge discovery in databases. In covering-based rough sets, many types of rough set models were established in recent years. In this paper, we compare the covering-based rough sets defined by Zhu with ones defined by Xu and Zhang. We further explore the properties and structures of these types of rough set models. We also consider the reduction of coverings. Finally, the axiomatic systems for the lower and upper approximations defined by Xu and Zhang are constructed.