• DocumentCode
    2149528
  • Title

    Advances in Rough and Fuzzy Set Information Systems

  • Author

    Beaubouef, Theresa ; Petry, Frederick E.

  • Author_Institution
    Comput. Sci. Dept., Southeastern Louisiana Univ., Hammond, LA, USA
  • fYear
    2010
  • fDate
    14-16 Aug. 2010
  • Firstpage
    3
  • Lastpage
    4
  • Abstract
    Rough sets and fuzzy sets are frameworks for the representation of uncertainty. They have been used in various applications such as the imprecise querying of crisp data, uncertainty management in databases, the mining of spatial data, and measurement of information content. This paper discusses such advances in rough and fuzzy set information systems.
  • Keywords
    data mining; database management systems; fuzzy set theory; information systems; rough set theory; uncertainty handling; data querying; database management; fuzzy sets; information content measurement; information systems; rough sets; spatial data mining; uncertainty; Approximation methods; Finite element methods; Relational databases; Rough sets; Spatial databases; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2010 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-7964-1
  • Type

    conf

  • DOI
    10.1109/GrC.2010.39
  • Filename
    5576235
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2149528