Analysis of multi-interpretable ecological monitoring information
Frances M.T. Brazier, Joeri Engelfriet, Jan Treur · Applied Artificial Intelligence · 2002
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.