Moret-Bonillo, VicenteCabrero-Canosa, MarianoMosqueira-Rey, EduardoCarballal Mato, ElenaPiñeiro, M.Kolev, S.Galiñares, A.V.Paz Andrade, M.J.Carballas, Tarsy2016-02-252016-02-252002-076th World Multiconference on Systemics, Cybernetics and Informatics and 8th International Conference on Information System Analysis and Synthesis (SCI/ISAS 2002) ; 001410http://hdl.handle.net/2183/161215 pages, 5 figures.-- Communication presented at the 6th World Multiconference on Systemics, Cybernetics and Informatics and 8th International Conference on Information System Analysis and Synthesis (SCI/ISAS 2002, Orlando, Florida, Jul 14-18, 2002).This article describes a computational system which forecasts the potential risk of forest fires, by processing a set of meteorological variables so as to produce a fire weather risk index. The system also studies a set of area characteristics, which provides us with long-term static information on potential fire risk. This area-specific information constitutes the interpretation context and can be used to refine the results computed from the weather index.engFire risk forecastingHeuristicsArtificial intelligenceconference outputopen access