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Extending RDBMS for Allowing Fuzzy Quantified Queries

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Database and Expert Systems Applications (DEXA 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1873))

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Abstract

This paper is mainly concerned with the extension of database management systems querying capabilities, so that users may address queries involving preferences and get discriminated answers. The use of flexible predicates and linguistic quantifiers interpreted in the framework of the fuzzy set theory is advocated for defining a query language, called SQLf. This language extents the functionalities offered by SQL and it is considered here from a query processing point of view. We concentrate this work in the fuzzy quantified SQLf queries semantic and evaluation mechanism.

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Author information

Authors and Affiliations

  1. Departamento de Computatión, Universidad Simón Bolívar, Apartado 89000, Caracas, 1080-A, Venezuela

    Leonid José Tineo Rodríguez

Authors
  1. Leonid José Tineo Rodríguez
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Editor information

Editors and Affiliations

  1. Department of Computing and Mathematical Sciences, Maritime Greenwich University Campus, 30 Park Row, London, SE10 9LS, UK

    Mohamed Ibrahim

  2. University of Linz, FAW, Altenbergerstr. 69, 4040, Linz, Austria

    Josef Küng

  3. Middlesex University, Bounds Green, London, UK

    Norman Revell

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Rodríguez, L.J.T. (2000). Extending RDBMS for Allowing Fuzzy Quantified Queries. In: Ibrahim, M., Küng, J., Revell, N. (eds) Database and Expert Systems Applications. DEXA 2000. Lecture Notes in Computer Science, vol 1873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44469-6_38

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  • DOI: https://doi.org/10.1007/3-540-44469-6_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67978-3

  • Online ISBN: 978-3-540-44469-5

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