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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2004: Knowledge-Based Intelligent Information and Engineering Systems pp 691–697Cite as

Classification of Fuzzy Data in Database Management System

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3214))

Abstract

When the available information is imperfect, it is often desirable to represent it in the database, so that it can be used to answer queries of interest as much as possible. The data as well as query in data sources are often vague or imprecise (fuzzy). In this paper, a comprehensive classification of fuzzy data is done. This classification will be used as framework for understanding how fuzzy data arise and manifest themselves.

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Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia

    Deval Popat & Hema Sharda

  2. School of Business Systems, Monash University, Melbourne, Australia

    David Taniar

Authors
  1. Deval Popat
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  2. Hema Sharda
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  3. David Taniar
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Popat, D., Sharda, H., Taniar, D. (2004). Classification of Fuzzy Data in Database Management System. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_91

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  • DOI: https://doi.org/10.1007/978-3-540-30133-2_91

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23206-3

  • Online ISBN: 978-3-540-30133-2

  • eBook Packages: Springer Book Archive

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