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Analysis of Multi-Interpretable Ecological Monitoring Information

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Applications of Uncertainty Formalisms

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1455))

Abstract

In this paper logical techniques developed to formalize the analysis of multi-interpretable information, in particular belief set operators and selection operators, are applied to an ecological domain. A knowledge-based decision support system is described that determines the abiotic (chemical and physical) characteristics of a site on the basis of samples of plant species that are observed. The logical foundation of this system is described in terms of a belief set operator and a selection operator. Moreover, it is shown how the belief set operator that corresponds to the system can be represented by a normal default theory.

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References

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Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science Artificial Intelligence Group, Vrije Universiteit Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands

    Frances Brazier, Joeri Engelfriet & Jan Treur

Authors
  1. Frances Brazier
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  2. Joeri Engelfriet
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  3. Jan Treur
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, UK

    Anthony Hunter

  2. Queen Mary and Westfield College, Department of Electronic Engineering, University of London, London, E1 4NS, UK

    Simon Parsons

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© 1998 Springer-Verlag Berlin Heidelberg

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Brazier, F., Engelfriet, J., Treur, J. (1998). Analysis of Multi-Interpretable Ecological Monitoring Information. In: Hunter, A., Parsons, S. (eds) Applications of Uncertainty Formalisms. Lecture Notes in Computer Science(), vol 1455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49426-X_14

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  • DOI: https://doi.org/10.1007/3-540-49426-X_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65312-7

  • Online ISBN: 978-3-540-49426-3

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