Metric Operations on Fuzzy Spatial Objects in Databases

Markus Schneider

Praktische Informatik IV, Fernuniversität Hagen, D-58084 Hagen, Germany

Abstract: Uncertainty management for geometric data is currently an important problem for (extensible) databases in general and for spatial databases, image databases, and GIS in particular. In these systems, spatial data are traditionally kept as determinate and sharply bounded objects; the aspect of spatial vagueness is not and cannot be treated by these systems. However, in many geometric and geographical database applications there is a need to model spatial phenomena rather through vague concepts due to indeterminate and blurred boundaries. Following previous work, we first describe a data model for fuzzy spatial objects including data types for fuzzy regions and fuzzy lines. We then, in particular, study the important class of metric operations on these objects.

Published: 8th ACM Symp. on Geographic Information Systems (ACM GIS), 21-26, 2000