@inproceedings{f77e7e50c8e64622a007e21d8e1956ad,
title = "Analysis of multi-interpretable ecological monitoring information",
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. Moreover, it is shown how the belief set operator that corresponds to the system can be represented by a normal default theory.",
author = "F.M. Brazier and J. Engelfriet and J. Treur",
year = "1998",
doi = "10.1007/3-540-49426-X_14",
language = "English",
isbn = "978-3-540-65312-7",
volume = "1455",
series = "Lecture Notes in Artificial Intelligence",
publisher = "Springer/Verlag",
pages = "303--324",
editor = "A. Hunter",
booktitle = "Applications of Uncertainty Formalisms",
}