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Approximation of Information Granule Sets

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Rough Sets and Current Trends in Computing (RSCTC 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2005))

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Abstract

The aim of the paper is to present basic notions related to granular computing, namely the information granule syntax and semantics as well as the inclusion and closeness (similarity) relations of granules. In particular, we discuss how to define approximation of complex granule sets using the above notions.

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Author information

Authors and Affiliations

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

    Andrzej Skowron

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

    Jaroslaw Stepaniuk

  3. Department of Electrical and Computer Engineering, University of Manitoba, 15 Gillson Street, ENGR 504, R3T 5V6, Winnipeg, Manitoba, Canada

    James F. Peters

Authors
  1. Andrzej Skowron
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  2. Jaroslaw Stepaniuk
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  3. James F. Peters
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina Regina, S4S 0A2, Saskatchewan, Canada

    Wojciech Ziarko  & Yiyu Yao  & 

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Skowron, A., Stepaniuk, J., Peters, J.F. (2001). Approximation of Information Granule Sets. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_7

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  • DOI: https://doi.org/10.1007/3-540-45554-X_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43074-2

  • Online ISBN: 978-3-540-45554-7

  • eBook Packages: Springer Book Archive

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