Accession Number:

ADA458392

Title:

Spatial Data Methods and Vague Regions: A Rough Set Approach

Descriptive Note:

Journal article

Corporate Author:

NAVAL RESEARCH LAB STENNIS SPACE CENTER MS MARINE GEOACOUSTICS DIV

Report Date:

2003-07-09

Pagination or Media Count:

30.0

Abstract:

Uncertainty management has been considered essential for real world applications, and spatial data and geographic information systems in particular require some means for managing uncertainty and vagueness. Rough sets have been shown to be an effective tool for data mining and uncertainty management in databases. The 9-intersection, region connection calculus RCC, and egg-yolk methods have proven useful for modeling topological relations in spatial data. In this paper, we apply rough set definitions for topological relationships based on the 9-intersection, RCC, and egg-yolk models for objects with broad boundaries. We show that rough sets can be used to express and improve on topological relationships and concepts defined with these models.

Subject Categories:

  • Cartography and Aerial Photography
  • Theoretical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE