• DocumentCode
    1940493
  • Title

    Discovery of fuzzy inclusion dependencies in fuzzy relational databases

  • Author

    Sharma, A.K. ; Goswami, A. ; Gupta, D.K.

  • Author_Institution
    Dept. of Math., Indian Inst. of Technol., Kharagpur, India
  • Volume
    1
  • fYear
    2004
  • fDate
    28 June-1 July 2004
  • Firstpage
    128
  • Abstract
    Inclusion dependencies express subset-relationships between databases and are thus important indicators for redundancies between databases. In the context of database integration, it can help to solve a very common and difficult problem: "discovering redundancies across crisp databases". Inclusion dependencies in crisp databases are well known and some related work can be found in the literature, however, the idea of fuzzy inclusion dependencies in fuzzy relational databases is new that we have introduced in This work and derived the inference rules on such dependencies. An algorithm has also been proposed for the discovery of FIDs that may exist between two given fuzzy relations stored in one or more fuzzy relational databases.
  • Keywords
    computational complexity; data integrity; fuzzy set theory; inference mechanisms; meta data; relational databases; crisp databases; fuzzy inclusion dependencies; fuzzy relation; fuzzy relational databases; inference rules; subset-relationship; Database languages; Fuzzy systems; Inference algorithms; Information management; Mathematics; Redundancy; Relational databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications, 2004. Proceedings. ISCC 2004. Ninth International Symposium on
  • Print_ISBN
    0-7803-8623-X
  • Type

    conf

  • DOI
    10.1109/ISCC.2004.1358393
  • Filename
    1358393