UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Rough-set representation of GIS data uncertainties with multiple granularities

Deng, M; Li, ZL; Cheng, T; (2006) Rough-set representation of GIS data uncertainties with multiple granularities. Acta Geodaetica et Cartographica Sinica , 35 (1) pp. 64-70.

Full text not available from this repository.

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.

Type: Article
Title: Rough-set representation of GIS data uncertainties with multiple granularities
UCL classification: UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Civil, Environmental and Geomatic Engineering
URI: http://discovery.ucl.ac.uk/id/eprint/76147
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item