Rough Qualitative Spatial Reasoning Based on Rough Topology

Authors:
Anahid Bassiri;Mohammad R. Malek;Ali A. Alesheikh
Affiliations:
Dept. of Geodesy and Geomatics Eng., K.N.Toosi University of Technology, Tehran, Iran;Dept. of Geodesy and Geomatics Eng., K.N.Toosi University of Technology, Tehran, Iran;Dept. of Geodesy and Geomatics Eng., K.N.Toosi University of Technology, Tehran, Iran
Venue:
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
Year:
2009

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Abstract

In order to derive information based on captured data, some analysis methods are implemented. These methods reduce our need to have all the related data. One of the most important devices to extract information from incomplete data is the reasoning method. Spatial reasoning is one of fields of reasoning whose implementation relies on spatial objects. An ordinary method of qualitative reasoning suffers from not considering fuzziness and vagueness. In order to extract qualitative information from uncertain spatial objects, this paper proposes a new method based on rough set theory. Based on rough topological relationships, reasoning rules were developed. Application of paper is to do with land cover areas as rough objects.