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Rough Sets: A Special Case of Interval Structures

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Rough Sets, Fuzzy Sets and Knowledge Discovery

Part of the book series: Workshops in Computing ((WORKSHOPS COMP.))

Abstract

The relationship between two different frameworks for representing uncertain information, rough sets and interval structures, is discussed in this paper. It is shown that the notion of rough sets is a special case of interval structures which provide a more general framework for modeling uncertainty.

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References

  1. A. Bundy, Correctness criteria of some algorithms for uncertain reasoning using incidence calculus, Journal of Automated Reasoning, vol. 2, 109126, 1986.

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  2. F. Correa de Silva and A. Bundy, On some equivalence relations between incidence calculus and Dempster-Shafer theory of evidence, Proceedings of 6th International Workshop on Uncertainty in Artificial Intelligence, 109–126, Cambridge, MA, 1990.

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  3. Z. Pawlak, Rough classification, International Journal of Man-Machine Studies. vol. 11, 341–356, 1984.

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  4. G. Shafer, Belief functions and possibility measures, Analysis of Fuzzy Information, vol. 1, 51–84, 1986.

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  5. S.K.M. Wong, L.S. Wang and Y.Y. Yao, Interval structures: a framework for representing uncertain information, Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence, 336–343, Ed. by D. Dubois, M. P. Wellman, B. D. Ambrosio and P. Smets, Morgan Kaufmann, 1992.

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Author information

Authors and Affiliations

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

    S. K. M. Wong & Xiaopin Nie

Authors
  1. S. K. M. Wong
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  2. Xiaopin Nie
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Editor information

Editors and Affiliations

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

    Wojciech P. Ziarko MSc, PhD

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© 1994 British Computer Society

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Cite this paper

Wong, S.K.M., Nie, X. (1994). Rough Sets: A Special Case of Interval Structures. In: Ziarko, W.P. (eds) Rough Sets, Fuzzy Sets and Knowledge Discovery. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3238-7_26

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  • DOI: https://doi.org/10.1007/978-1-4471-3238-7_26

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19885-7

  • Online ISBN: 978-1-4471-3238-7

  • eBook Packages: Springer Book Archive

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