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A Rough Set Model for Relational Databases

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Book cover Rough Sets, Fuzzy Sets and Knowledge Discovery

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

Abstract

In recent years it has become increasingly necessary to capture information on uncertainty, imprecision, and ambiguity along with precise values in databases. Fuzzy set theory has been established as a useful tool for representing imprecision and grades of membership. It has also been integrated with the relational database model and proven to be an excellent mechanism for expressing relationships among attribute values and imprecision in querying [1].

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References

  1. Buckles, B.P. and F.E. Petry. A fuzzy model for relational databases. Journal of Fuzzy Sets and Systems 1982; Vol. 7, No. 3, 213–226.

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Author information

Authors and Affiliations

  1. Center for Intelligent and Knowledge-Based Systems, Tulane University, New Orleans, LA, 70118, USA

    Theresa Beaubouef & Frederick E. Petry

Authors
  1. Theresa Beaubouef
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  2. Frederick E. Petry
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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

Beaubouef, T., Petry, F.E. (1994). A Rough Set Model for Relational Databases. 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_12

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  • DOI: https://doi.org/10.1007/978-1-4471-3238-7_12

  • 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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