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Qualitative spatial reasoning: A semi-quantitative approach using fuzzy logic

  • Spatial Reasoning
  • Conference paper
  • First Online:
Design and Implementation of Large Spatial Databases (SSD 1989)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 409))

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Abstract

Qualitative reasoning is useful as it facilitates reasoning with incomplete and weak information and aids the subsequent application of more detailed quantitative theories. Adoption of qualitative techniques for spatial reasoning can be very useful in situations where it is difficult to obtain precise informationand where there are real constraints of memory, time and hostile threats. This paper formulates a computational model for obtaining all induced spatial constraints on a set of landmarks, given a set of approximate quantitative and qualitative constraints on them, which may be incomplete, and perhaps even conflicting.

This research has been supported by the grants NASA-NSS-2-275 and AFOSR-89-0084.

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Authors and Affiliations

  1. Computer Science Department, University of California, 94720, Berkeley, CA

    Soumitra Dutta

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  1. Soumitra Dutta
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Editor information

Alejandro P. Buchmann Oliver Günther Terence R. Smith Yuan-Fang Wang

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© 1990 Springer-Verlag Berlin Heidelberg

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Dutta, S. (1990). Qualitative spatial reasoning: A semi-quantitative approach using fuzzy logic. In: Buchmann, A.P., Günther, O., Smith, T.R., Wang, YF. (eds) Design and Implementation of Large Spatial Databases. SSD 1989. Lecture Notes in Computer Science, vol 409. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52208-5_36

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  • DOI: https://doi.org/10.1007/3-540-52208-5_36

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52208-9

  • Online ISBN: 978-3-540-46924-7

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