• DocumentCode
    27800
  • Title

    A Certainty-Based Model for Uncertain Databases

  • Author

    Pivert, Olivier ; Prade, Henri

  • Author_Institution
    IRISA, Univ. of Rennes 1, Lannion, France
  • Volume
    23
  • Issue
    4
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    1181
  • Lastpage
    1196
  • Abstract
    This paper considers relational databases containing uncertain attribute values when some knowledge is available about the more or less certain value (or disjunction of values) that a given attribute in a tuple may take. We propose a possibility-theory-based model suited to this context and extend the operators of relational algebra to handle such relations in a “compact,” thus efficient, way. It is shown that the model is a representation system for the whole relational algebra. An important result is that the data complexity associated with the extended operators in this context is the same as in the classical database case, which makes the approach highly scalable.
  • Keywords
    mathematical operators; possibility theory; relational algebra; relational databases; certainty-based model; data complexity; possibility-theory-based model; relational algebra; relational database; representation system; uncertain attribute value; uncertain database; Algebra; Cities and towns; Context; Databases; Possibility theory; Probabilistic logic; Uncertainty; Database model; possibility theory; query language; uncertain data;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2014.2347994
  • Filename
    6878441