Topological and directional fuzzy query for spatial objects with indeterminate boundaries

  • Authors:
  • Shahram Rahimi;Namdar Mogharreban

  • Affiliations:
  • Department of Computer Science, Southern Illinois University, Carbondale, Illinois;Department of Computer Science, Southern Illinois University, Carbondale, Illinois

  • Venue:
  • ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
  • Year:
  • 2005

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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, firstly a strategy for topological and directional fuzzy spatial querying under uncertainty is discussed for objects with determined boundaries and then it is extended to cover objects with indeterminate boundaries. In this strategy, type-2 fuzzy set theory is utilized to deal with objects with indeterminate boundaries.