Analysis of multi-interpretable ecological monitoring information

F. Brazier; J. Engelfriet; J. Treur

doi:10.1080/088395102753365780

Analysis of multi-interpretable ecological monitoring information

F. Brazier
, J. Engelfriet
, J. Treur

Research output: Contribution to Journal › Article › Academic › peer-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 language	English
Pages (from-to)	29-50
Number of pages	22
Journal	Applied Artificial Intelligence
Volume	16
Issue number	1
DOIs	https://doi.org/10.1080/088395102753365780
Publication status	Published - Jan 2002

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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.",

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Analysis of multi-interpretable ecological monitoring information

Abstract

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