• DocumentCode
    3381191
  • Title

    A relational division based on a fuzzy bipolar R-implication operator

  • Author

    Tamani, Nouredine ; Lietard, Ludovic ; Rocacher, Daniel

  • Author_Institution
    UMR IATE/INRA-SUPAGRO, Montpellier, France
  • fYear
    2013
  • fDate
    7-10 July 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    We introduce in this paper a new relational division operator based on a bipolar implication operator involving fuzzy bipolar relations. The considered bipolarity encompasses two kinds of bipolar conditions: the former is of type “and if possible”, and the latter is of type “or else”. This new division operator allows as to express a division of bipolar relations regardless of the nature of the dividend and the divisor (Boolean, fuzzy, bipolar, homogeneous, heterogeneous). We have also shown that the proposed relational division operator satisfies the bipolar quotient properties and can be an alternative to the already proposed operator in [1]-[3] which is based on the quantities involved in the division operation. The new proposed operator is aimed to be integrated into the bipolar SQLf language for flexible querying of relational databases.
  • Keywords
    SQL; fuzzy set theory; query processing; relational databases; SQLf language; bipolar implication operator; flexible querying; fuzzy bipolar R-implication operator; fuzzy bipolar relations; relational databases; relational division; Algebra; Coherence; Compounds; Context; Electronic mail; Relational databases; Semantics; Flexible Querying; Fuzzy Bipolar Conditions; Gödel Fuzzy implication; Relational Division;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
  • Conference_Location
    Hyderabad
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4799-0020-6
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2013.6622331
  • Filename
    6622331