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International Conference on Rough Sets and Intelligent Systems Paradigms

RSEISP 2007: Rough Sets and Intelligent Systems Paradigms pp 300–309Cite as

Modeling of High Quality Granules

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4585))

Abstract

In Granular Computing (GC) we search for granules satisfying some criteria. These criteria can be based on the minimal length principle, can express acceptable risk degrees of granules, or can use some utility functions. We discuss the role of approximation spaces in modeling granules satisfying such criteria.

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Author information

Authors and Affiliations

  1. Institute of Mathematics, Warsaw University, Banacha 2, 02-097 Warsaw, Poland

    Andrzej Skowron

  2. Department of Computer Science, Bialystok University of Technology, Wiejska 45A, 15-351 Bialystok, Poland

    Jaroslaw Stepaniuk

Authors
  1. Andrzej Skowron
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  2. Jaroslaw Stepaniuk
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Editor information

Marzena Kryszkiewicz James F. Peters Henryk Rybinski Andrzej Skowron

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© 2007 Springer-Verlag Berlin Heidelberg

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Skowron, A., Stepaniuk, J. (2007). Modeling of High Quality Granules. In: Kryszkiewicz, M., Peters, J.F., Rybinski, H., Skowron, A. (eds) Rough Sets and Intelligent Systems Paradigms. RSEISP 2007. Lecture Notes in Computer Science(), vol 4585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73451-2_32

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  • DOI: https://doi.org/10.1007/978-3-540-73451-2_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73450-5

  • Online ISBN: 978-3-540-73451-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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