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 language | Chinese (Simplified) |
|---|---|
| Pages (from-to) | 64-70 |
| Number of pages | 7 |
| Journal | Acta Geodaetica et Cartographica Sinica |
| Volume | 35 |
| Issue number | 1 |
| Publication status | Published - 1 Feb 2006 |
Keywords
- Granularity
- Rough set
- Spatial object
- Spatial relations
- Uncertainty
ASJC Scopus subject areas
- General Earth and Planetary Sciences