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International Conference on Rough Sets and Current Trends in Computing

RSCTC 2000: Rough Sets and Current Trends in Computing pp 511–518Cite as

Rough Sets for Uncertainty Reasoning

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

Abstract

Rough sets have traditionally been applied to decision (classification) problems. We suggest that rough sets are even better suited for reasoning. It has already been shown that rough sets can be applied for reasoning about knowledge. In this preliminary paper, we show how rough sets provide a convenient framework for uncertainty reasoning. This discussion not only presents a new topic for future research, but further demonstrates the flexibility of rough sets.

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Author information

Authors and Affiliations

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

    S. K. M. Wong

  2. School of Information Technology & Engineering, University of Ottawa, KIN 6N5, Ottawa, Canada

    C. J. Butz

Authors
  1. S. K. M. Wong
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  2. C. J. Butz
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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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© 2001 Springer-Verlag Berlin Heidelberg

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Wong, S.K.M., Butz, C.J. (2001). Rough Sets for Uncertainty Reasoning. 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_63

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  • DOI: https://doi.org/10.1007/3-540-45554-X_63

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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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