Title :
Vague regions and spatial relationships: a rough set approach
Author :
Beaubouf, T. ; Petry, Frederick
Author_Institution :
Comput. Sci. Dept., Southeastern Louisiana Univ., Hammond, IN, USA
Abstract :
Uncertainty management is necessary for spatial data and GIS applications. This paper focuses on topological relationships and uncertainty in spatial data regions. We discuss the representation of vague regions using the RCC-8 theory and show how rough sets can improve on this methodology through the use of its indiscernibility relation and approximation regions
Keywords :
equivalence classes; geographic information systems; rough set theory; uncertainty handling; visual databases; GIS applications; RCC-8 theory; approximation regions; geographic information systems; indiscernibility relation; rough set approach; spatial data; spatial relationships; topological relationships; uncertainty management; vague regions; Application software; Artificial intelligence; Computer science; Geographic Information Systems; Management information systems; Relational databases; Rough sets; Spatial databases; Topology; Uncertainty;
Conference_Titel :
Computational Intelligence and Multimedia Applications, 2001. ICCIMA 2001. Proceedings. Fourth International Conference on
Conference_Location :
Yokusika City
Print_ISBN :
0-7695-1312-3
DOI :
10.1109/ICCIMA.2001.970485
