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A Fuzzy Query Evaluation in Relational Databases

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Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems

Part of the book series: Theory and Decision Library ((TDLD,volume 16))

Abstract

A fuzzy query evaluation in relational databases is presented in this paper. Average method, N-Root method and Weight method are introduced to determine the tuple membership value for fuzzy query processing. The tuple membership value of these new methods is reflected by all domain membership values in a tuple, while that of existing methods, so called MIN function method and B-P method, by only one value which is the lowest one among the domain membership values. Also, we introduce a filtering mechanism which makes fuzzy query processing efficient.

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Author information

Authors and Affiliations

  1. Dept. of Infomation and Telecommunication Engineering, Chonbook National University, Chonju, Korea

    Soon C. Park

  2. Dept. of Computer Engineering, Pusan University of Foreign Studies, Pusan, Korea

    Chang Suk Kim

  3. Dept. of Computer Science, Hanshin University, Osan, Korea

    Dae Su Kim

Authors
  1. Soon C. Park
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  2. Chang Suk Kim
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  3. Dae Su Kim
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Editor information

Editors and Affiliations

  1. Korea Advanced Institute of Science and Technology (KAIST), Taejon, Korea

    Z. Bien

  2. Yonsei University, Seoul, Korea

    K. C. Min

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© 1995 Kluwer Academic Publishers

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Park, S.C., Kim, C.S., Kim, D.S. (1995). A Fuzzy Query Evaluation in Relational Databases. In: Bien, Z., Min, K.C. (eds) Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems. Theory and Decision Library, vol 16. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0125-4_40

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  • DOI: https://doi.org/10.1007/978-94-009-0125-4_40

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6543-6

  • Online ISBN: 978-94-009-0125-4

  • eBook Packages: Springer Book Archive

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