Analysis of multi-interpretable ecological monitoring information

F.M. Brazier, J. Engelfriet, J. Treur

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


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.
Original languageEnglish
Title of host publicationApplications of Uncertainty Formalisms
EditorsA. Hunter
Number of pages22
ISBN (Electronic)978-3-540-49426-3
ISBN (Print)978-3-540-65312-7
Publication statusPublished - 1998

Publication series

NameLecture Notes in Artificial Intelligence


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