Analysis of multi-interpretable ecological monitoring information

  • Authors:
  • Frances M. T. Brazier;Joeri Engelfriet;Jan Treur

  • Affiliations:
  • -;-;-

  • Venue:
  • Applications of Uncertainty Formalisms
  • Year:
  • 1998

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Abstract

In this paper logical techniques developed to formalize the analysis of multiinterpretable information, in particular belief set operators and selection operators, are applied to an ecological domain. A knowledge-based decision support system i s 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.