Classification of Fuzzy data in database management system

Deval Popat, Hema Sharda, David Taniar

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    3 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems
    Subtitle of host publication8th International Conference, KES 2004 Wellington, New Zealand, September 20-25, 2004 Proceedings, Part II
    EditorsMircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain
    Place of PublicationBerlin Germany
    Pages691-697
    Number of pages7
    DOIs
    Publication statusPublished - 2004
    EventInternational Conference on Knowledge-Based and Intelligent Information and Engineering Systems 2004 - Wellington, New Zealand
    Duration: 20 Sep 200425 Sep 2004
    Conference number: 8th

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume3214
    ISSN (Print)0302-9743

    Conference

    ConferenceInternational Conference on Knowledge-Based and Intelligent Information and Engineering Systems 2004
    Abbreviated titleKES 2004
    CountryNew Zealand
    CityWellington
    Period20/09/0425/09/04

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