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Recent Development in Fuzzy Database Systems and Applications

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Book cover 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

Queries for database retrieval and data in the real world have fuzziness which cannot or need not be precisely defined. In order to deal with them we have two research fields of fuzzy database systems and fuzzy information retrieval. They have different histories and methodologies. In this paper we survey works on fuzzy database systems in the view of fuzzy query processing and fuzzy data model as well as those in fuzzy information retrieval. Moreover we discuss models of fuzzy database systems and those for fuzzy information retrieval, comparing characteristics of the models.

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Author information

Authors and Affiliations

  1. Institute of Information Sciences and Electronics, University of Tsukuba, Ibaraki, 305, Japan

    S. Miyamoto

  2. Department of Systems Engineering Faculty of Engineering Science, Osaka University, Osaka, 560, Japan

    M. Umano

Authors
  1. S. Miyamoto
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  2. M. Umano
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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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Miyamoto, S., Umano, M. (1995). Recent Development in Fuzzy Database Systems and Applications. 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_36

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  • DOI: https://doi.org/10.1007/978-94-009-0125-4_36

  • 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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