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Uncertainty Management for Spatial Datain Databases: Fuzzy Spatial Data Types

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Advances in Spatial Databases (SSD 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1651))

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Abstract

In many geographical applications there is a need to model spatial phenomena not simply by sharply bounded objects but rather through vague concepts due to indeterminate boundaries. Spatial database systems and geographical information systems are currently not able to deal with this kind of data. In order to support these applications, for an important kind of vagueness called fuzziness, we propose an abstract, conceptual model of so-called fuzzy spatial data types (i.e., a fuzzy spatial algebra) introducing fuzzy points, fuzzy lines, and fuzzy regions. This paper* focuses on defining their structure and semantics. The formal framework is based on fuzzy set theory and fuzzy topology.

This research was partially supported by the CHOROCHRONOS project, funded by the EU under the Training and Mobility of Researchers Programme, contract no. ERB FMRX-CT96-0056.

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© 1999 Springer-Verlag Berlin Heidelberg

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Schneider, M. (1999). Uncertainty Management for Spatial Datain Databases: Fuzzy Spatial Data Types. In: Güting, R.H., Papadias, D., Lochovsky, F. (eds) Advances in Spatial Databases. SSD 1999. Lecture Notes in Computer Science, vol 1651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48482-5_20

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  • DOI: https://doi.org/10.1007/3-540-48482-5_20

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  • Print ISBN: 978-3-540-66247-1

  • Online ISBN: 978-3-540-48482-0

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