• DocumentCode
    1563761
  • Title

    An inexact inferencing strategy for spatial objects with determined and indeterminate boundaries

  • Author

    Rahimi, Shahram ; Yang, Huiquing ; Cobb, Maria ; Zhou, Hong ; Ali, Dia ; Petry, Frederick E.

  • Author_Institution
    Dept. of Comput. Sci., Southern Illinois Univ., Carbondale, IL, USA
  • Volume
    2
  • fYear
    2003
  • Firstpage
    778
  • Abstract
    For many years, spatial querying has been of interest for the researchers in the GIS community. Any successful implementation and long-term viability of the GIS technology depends on the issue of accuracy of spatial queries. In order to improve the accuracy and quality of spatial querying, the problems associated with the areas of fuzziness and uncertainty need to be addressed. There has been a strong demand to provide approaches that deal with inaccuracy and uncertainty in GIS. In this paper, we develop an approach that can perform fuzzy spatial querying under uncertainty. An inexact inferencing strategy for objects with determined and indeterminate boundaries is investigates using type-2 fuzzy set theory.
  • Keywords
    fuzzy set theory; geographic information systems; query processing; uncertainty handling; determined boundaries; fuzziness; fuzzy set theory; fuzzy spatial querying; geographic information systems; indeterminate boundaries; inexact inferencing strategy; spatial objects; spatial queries; spatial querying accuracy; spatial querying quality; uncertainty; Application software; Computational Intelligence Society; Computer science; Fuzzy set theory; Humans; Mathematics; Query processing; Set theory; Spatial databases; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
  • Print_ISBN
    0-7803-7810-5
  • Type

    conf

  • DOI
    10.1109/FUZZ.2003.1206528
  • Filename
    1206528