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Set Approximations in Multi-level Conceptual Data

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Rough Sets and Knowledge Technology (RSKT 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4481))

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Abstract

In this paper, two kinds of multi-level formal concepts are discussed. Based on the proposed Multi-level formal concepts, we present two pairs of rough set approximations within fuzzy formal contexts. By the proposed rough set approximations, we not only approximate a crisp set, but also approximate a fuzzy set with the multi-level concepts. We discuss the properties of the proposed two pairs of approximation operators in details.

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JingTao Yao Pawan Lingras Wei-Zhi Wu Marcin Szczuka Nick J. Cercone Dominik Ślȩzak

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Shao, MW., Yang, HZ., Fan, SQ. (2007). Set Approximations in Multi-level Conceptual Data. In: Yao, J., Lingras, P., Wu, WZ., Szczuka, M., Cercone, N.J., Ślȩzak, D. (eds) Rough Sets and Knowledge Technology. RSKT 2007. Lecture Notes in Computer Science(), vol 4481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72458-2_44

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  • DOI: https://doi.org/10.1007/978-3-540-72458-2_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72457-5

  • Online ISBN: 978-3-540-72458-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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