Analysis of multi-interpretable ecological monitoring information

F. Brazier, J. Engelfriet, J. Treur

Research output: Contribution to JournalArticleAcademicpeer-review

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.
Original languageEnglish
Pages (from-to)29-50
Number of pages22
JournalApplied Artificial Intelligence
Volume16
Issue number1
DOIs
Publication statusPublished - Jan 2002

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