• DocumentCode
    2612144
  • Title

    Functional dependencies revisited under graduality and imprecision

  • Author

    Bosc, Patrick ; Liétard, Ludovic ; Pivert, Olivier

  • Author_Institution
    IRISA, Lannion, France
  • fYear
    1997
  • fDate
    21-24 Sep 1997
  • Firstpage
    57
  • Lastpage
    62
  • Abstract
    In the database area, the notion of data property has been recognized for two main purposes: data control when the property is a constraint; and knowledge discovery when the property is the result of a mining process. Among the properties, functional dependencies (FD) have received special attention for many years, since they are connected with database design. Different extensions of functional dependencies have been proposed but the semantics sometimes remains obscure. This paper discusses the semantics of basic extensions of a functional dependency when fuzzy sets (and/or possibility) theory is used. The case of a relational database where tuples may contain imperfectly known values is specifically investigated
  • Keywords
    data integrity; database theory; deductive databases; fuzzy set theory; knowledge acquisition; possibility theory; relational algebra; relational databases; uncertainty handling; constraint handling; data control; data mining; data property; database design; functional dependencies; fuzzy sets; graduality; imperfectly known values; imprecision; knowledge discovery; possibility theory; relational database; semantics; tuples; Context modeling; Electronic mail; Fuzzy sets; Iris; Relational databases; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 1997. NAFIPS '97., 1997 Annual Meeting of the North American
  • Conference_Location
    Syracuse, NY
  • Print_ISBN
    0-7803-4078-7
  • Type

    conf

  • DOI
    10.1109/NAFIPS.1997.624011
  • Filename
    624011