Fuzzy rule-based models for decision support in ecosystem management

To facilitate decision support in the ecosystem management, ecological expertise and site-specific data need to be integrated. Fuzzy logic can deal with highly variable, linguistic, vague and uncertain data or knowledge and, therefore, has the ability to allow for a logical, reliable and transparent...

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Bibliographic Details
Published in:Science of the Total Environment 2004-02, Vol.319 (1), p.1-12
Main Authors: Adriaenssens, Veronique, Baets, Bernard De, Goethals, Peter L.M., Pauw, Niels De
Format: Article
Language:English
Subjects:
Animal and plant ecology
Animal, plant and microbial ecology
Biological and medical sciences
Conservation of Natural Resources - methods
Decision Making
Ecology
Ecosystem
Fundamental and applied biological sciences. Psychology
Fuzzy Logic
General aspects
Modelling
Models, Biological
Prediction
Synecology
Uncertainty
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Summary:To facilitate decision support in the ecosystem management, ecological expertise and site-specific data need to be integrated. Fuzzy logic can deal with highly variable, linguistic, vague and uncertain data or knowledge and, therefore, has the ability to allow for a logical, reliable and transparent information stream from data collection down to data usage in decision-making. Several environmental applications already implicate the use of fuzzy logic. Most of these applications have been set up by trial and error and are mainly limited to the domain of environmental assessment. In this article, applications of fuzzy logic for decision support in ecosystem management are reviewed and assessed, with an emphasis on rule-based models. In particular, the identification, optimisation, validation, the interpretability and uncertainty aspects of fuzzy rule-based models for decision support in ecosystem management are discussed.
ISSN:0048-9697
1879-1026
DOI:10.1016/S0048-9697(03)00433-9