19 June 2001
ROUGH SET
BASED UNCERTAINTY MANAGEMENT FOR SPATIAL
DATABASES AND GEOGRAPHICAL INFORMATION SYSTEMS
T. Beaubouef
Southeastern LA University
Hammond, LA 70402
F. Petry
Tulane University
New Orleans, LA 70118
J. Breckenridge
Naval Research Laboratory
Stennis Space Center, MS 39529-5004
Abstract
Uncertainty management is necessary for real world applications. This especially holds true for database systems. Spatial data and geographic information systems in particular require some means for managing uncertainty. Rough set theory has been shown to be an effective tool for data mining and for uncertainty management in databases. This paper addresses the particular needs for management of uncertainty in spatial data and GIS and discusses ways in which rough sets can be used to enhance these systems.
Sponsored by the Oceanographer of the Navy.
Presented to
Online World Soft Computing Conference #4, September 18-21, 1999.
Naval Research Laboratory Contribution Number NRL/PP/7440 99-0009.
Conference Proceedings