Rough-set representation of GIS data uncertainties with multiple granularities

Min Deng, Zhilin Li, Tao Cheng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

Rough set is a novel mathematical tool for dealing with uncertainties and imprecision of geographic information, which can be used to represent uncertainties in multi-levels spatial knowledge. Based upon the fundamental concepts in rough set theory, this paper proposes rough set models to represent the uncertainties in position, attribute and topological relation of spatial objects. The changes of these uncertainties with the observation granularity are also investigated and represented by the rough set approach. It suggests that rough set is a very promising tool to integrate the representation of the uncertainties in measurement, classification and spatial relationships, and their changes with the observation granularity.
Original languageChinese (Simplified)
Pages (from-to)64-70
Number of pages7
JournalActa Geodaetica et Cartographica Sinica
Volume35
Issue number1
Publication statusPublished - 1 Feb 2006

Keywords

  • Granularity
  • Rough set
  • Spatial object
  • Spatial relations
  • Uncertainty

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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