• DocumentCode
    1638206
  • Title

    Elimination of semantic ambiguity in fuzzy relational models

  • Author

    Nakata, Michinori

  • Author_Institution
    Dept. of Inf. Sci., Chiba-Keizai Coll., Chiba, Japan
  • fYear
    1995
  • Firstpage
    643
  • Lastpage
    648
  • Abstract
    A generalized possibility-distribution-fuzzy-relational-model is proposed considering semantic ambiguity for values of membership attribute and ambiguity contained in values of membership attribute. Then the extended relational algebra is shown. In order to eliminate the semantic ambiguity, the concept of membership is introduced into each attribute. This clarifies the origin of membership attribute values. What the value of membership means depends on the property of attributes. In order to eliminate ambiguity contained in values of membership attribute those values are expressed by fuzzy values. This clarifies what relationships fuzzy data values have with their membership attribute values. Therefore there is no semantic ambiguity for the values of membership attributes and no ambiguity in the values of membership attributes in our extended relational model
  • Keywords
    database theory; fuzzy set theory; possibility theory; relational algebra; extended relational model; fuzzy data values; fuzzy relational models; fuzzy values; membership attribute; possibility-distribution-fuzzy-relational-model; relational algebra; semantic ambiguity; Algebra; Cities and towns; Databases; Educational institutions; Fuzzy set theory; Fuzzy sets; Genetic expression; Query processing; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-7126-2
  • Type

    conf

  • DOI
    10.1109/ISUMA.1995.527770
  • Filename
    527770