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A View on Rough Set Concept Approximations

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2639))

Abstract

The concept of approximation is one of the most fundamental in rough set theory. In this work we examine this basic notion as well as its extensions and modifications. The goal is to construct a parameterised approximation mechanism making it possible to develop multi-stage multi-level concept hierarchies that are capable of maintaining acceptable level of imprecision from input to output.

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© 2003 Springer-Verlag Berlin Heidelberg

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Bazan, J., Son, N.H., Skowron, A., Szczuka, M. (2003). A View on Rough Set Concept Approximations. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_23

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  • DOI: https://doi.org/10.1007/3-540-39205-X_23

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-14040-5

  • Online ISBN: 978-3-540-39205-7

  • eBook Packages: Springer Book Archive

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