A Twofold Fuzzy Region Model for Imprecise Quality Control of Geographic Information

Authors:
Niels Charlier;Guy Tré;Sidharta Gautama;Rik Bellens
Affiliations:
Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium 9000;Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium 9000;Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium 9000;Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium 9000
Venue:
ICCSA '08 Proceeding sof the international conference on Computational Science and Its Applications, Part I
Year:
2008

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Abstract

In this paper we propose a new data model for imperfect geographic information: a twofold fuzzy region model; which is an extension of both the fuzzy region model and the egg/yolk model. We show how it is meaningful and practically useful in representing the knowledge that results from classified pixel data. By defining different operators on the model we are able to develop an imprecise quality report for geographic databases that actually uses the imperfect classification data as a reference. This allows us, despite the large amount of imperfection in geographic classifications, to use them for rather accurate error detection on geographic databases.