An intelligent Fuzzy Inference System for risk estimation using matlab platform: The case of forest fires in Greece

Abstract

This paper aims in the design of an intelligent Fuzzy Inference System that evaluates risk due to natural disasters. Though its basic framework can be easily adjusted to perform in any type of natural hazard, it has been specifically designed to be applied in the case of forest fire risk in the area of the Greek terrain. Its purpose is to create a descending list of the areas under study, according to their degree of risk. This will provide important aid towards the task of distributing properly fire fighting resources. It is designed and implemented in Matlab's integrated Fuzzy Logic Toolbox. It estimates two basic kinds of risk indices, namely the man caused risk and the natural one. The fuzzy membership functions used in this project are the Triangular and the Semi-Triangular. © 2009 International Federation for Information Processing.