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Fuzzy Databases

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Fuzzy Sets in Approximate Reasoning and Information Systems

Part of the book series: The Handbooks of Fuzzy Sets Series ((FSHS,volume 5))

Abstract

This chapter will present the use of fuzzy set theory in databases. Particular emphasis is on the relational data model and possibility and similarity based approaches to representation of uncertainty. Other database models, such as object-oriented and network models, in which fuzzy set approaches to uncertainty have been developed, are also overviewed. More extended discussions of these and other topics can be found in Petry (1996).

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Authors and Affiliations

  1. IRISA:ENSSAT, Université de Rennes I, 6 rue de Kérampont, BP 447, 22305, Lannion Cedex, France

    Patrick Bosc

  2. Department of Computer Science, Tulane University, Center for Intelligent and Knowledge Based Systems, New Orleans, LA, 70118, USA

    Bill B. Buckles

  3. Department of Computer Science, Tulane University, Center for Intelligent and Knowledge Based Systems, New Orleans, LA, 70118, USA

    Frederick E. Petry

  4. IRISA:ENSSAT, Universite de Rennes I, 6 rue de Kerampont, BP 447, 22305, Lannion Cedex, France

    Olivier Pivert

Authors
  1. Patrick Bosc
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  2. Bill B. Buckles
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  3. Frederick E. Petry
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  4. Olivier Pivert
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Editor information

Editors and Affiliations

  1. University of West Florida, USA

    James C. Bezdek

  2. IRIT, CNRS & University of Toulouse III, France

    Didier Dubois  & Henri Prade  & 

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© 1999 Springer Science+Business Media New York

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Bosc, P., Buckles, B.B., Petry, F.E., Pivert, O. (1999). Fuzzy Databases. In: Bezdek, J.C., Dubois, D., Prade, H. (eds) Fuzzy Sets in Approximate Reasoning and Information Systems. The Handbooks of Fuzzy Sets Series, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5243-7_8

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  • DOI: https://doi.org/10.1007/978-1-4615-5243-7_8

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7390-2

  • Online ISBN: 978-1-4615-5243-7

  • eBook Packages: Springer Book Archive

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