APPLICATION OF ARTIFICIAL INTELLIGENCE TO RISK ANALYSIS FOR FORESTED ECOSYSTEMS

摘要: Forest ecosystems are subject to a variety of natural and anthropogenic disturbances that extract penalty from human population values. Such value losses (undesirable effects) combined with their likelihoods occurrence constitute risk. Assessment or prediction risk for various events is an important aid forest management. Artificial intelligence (AI) techniques have been applied analysis owing ability deal uncertainty, vagueness, incomplete inexact specifications, intuition, qualitative information. This paper examines knowledge-based systems, fuzzy logic, artificial neural networks, Bayesian belief networks application in the context forested ecosystems. Disturbances covered are: fire, insects/diseases, meteorological, anthropogenic. Insect/disease applications use system methods exclusively, whereas meteorological only networks. network almost nonexistent, even though they possess many theoretical practical advantages. Embedded systems -that AI alongside traditional methods-are, not unexpectedly, quite common.