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A general treatment of data redundancy in a fuzzy relational data model

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  • Guoqing Chen
  • Jacques Vandenbulcke
  • Etienne E. Kerre

Abstract

In fuzzy data modeling, there is a series of design issues that should be dealt with. This article concentrates on the definition of data redundancy in a fuzzy relational data model. Compared to the existing approaches, a general treatment is provided, enabling us to directly and rigourously handle the situation in which possibility distributions can appear as attribute values combined with closeness relations in domain elements. The treatment of fuzzy data redundancy, which we propose here, is mainly based on Zadeh's extension principle. In doing so, a natural incorporation of closeness relations into the operations defined by the extension principle is worked out. Certain desirable properties are achieved in our model, in terms of intuition and model design. © 1992 John Wiley & Sons, Inc.

Suggested Citation

  • Guoqing Chen & Jacques Vandenbulcke & Etienne E. Kerre, 1992. "A general treatment of data redundancy in a fuzzy relational data model," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(4), pages 304-311, May.
    • Handle: RePEc:bla:jamest:v:43:y:1992:i:4:p:304-311
    DOI: 10.1002/(SICI)1097-4571(199205)43:43.0.CO;2-X
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    Cited by:

    1. Li Yan & Z. M. Ma & Fu Zhang, 2014. "Algebraic operations in fuzzy object-oriented databases," Information Systems Frontiers, Springer, vol. 16(4), pages 543-556, September.

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