Automating Actualisation of Geographic Information Using the Twofold Fuzzy Region Model

Abstract

In this paper a new method is proposed for automating quality control and actualisation of spatial information using image data. A new model for imperfect geographic information is explored for this purpose: a twofold fuzzy region model; which is an extension of both the fuzzy region model and the egg/yolk model. This model is used to interpret spatial classifications and its imperfections in a new way. By defining different operators on the model an imprecise quality report can be developped for geographic databases that uses the imperfect spatial classification as reference information. The model makes it possible, despite the large amount of imperfection in spatial classifications, to use them for rather accurate error detection on geographic databases.

DOI: 10.1142/S0218488510006520

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Cite this paper

@article{Charlier2010AutomatingAO, title={Automating Actualisation of Geographic Information Using the Twofold Fuzzy Region Model}, author={Niels Charlier and Guy De Tr{\'e} and Sidharta Gautama and Rik Bellens}, journal={International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems}, year={2010}, volume={18}, pages={247-268} }