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Interval approaches for uncertain reasoning

  • Communications Session 5A Approximate Reasoning
  • Conference paper
  • First Online:
Foundations of Intelligent Systems (ISMIS 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1325))

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Abstract

This paper presents a framework for reasoning using intervals. Two interpretations of intervals are examined, one treats intervals as bounds of a truth evaluation function, and the other treats end points of intervals as two truth evaluation functions. They lead to two different reasoning approaches, one is based on interval computations, and the other is based on interval structures. A number of interval based reasoning methods are reviewed and compared within the proposed framework.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Lakehead University, Thunder Bay, P7B 5E1, Ontario, Canada

    Y. Y. Yao

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

    S. K. M. Wong

Authors
  1. Y. Y. Yao
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  2. S. K. M. Wong
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Editor information

Zbigniew W. Raś Andrzej Skowron

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© 1997 Springer-Verlag Berlin Heidelberg

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Yao, Y.Y., Wong, S.K.M. (1997). Interval approaches for uncertain reasoning. In: Raś, Z.W., Skowron, A. (eds) Foundations of Intelligent Systems. ISMIS 1997. Lecture Notes in Computer Science, vol 1325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63614-5_37

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  • DOI: https://doi.org/10.1007/3-540-63614-5_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63614-4

  • Online ISBN: 978-3-540-69612-4

  • eBook Packages: Springer Book Archive

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