Artificial intelligence has been applied in wildfire science and management since the 1990s,
with early applications including neural networks and expert systems. Since then, the field …

Wildland fire management is subject to manifold sources of uncertainty. Beyond the
unpredictability of wildfire behavior, uncertainty stems from inaccurate/missing data, limited …

This study sought to produce an accurate multi-hazard risk map for a mountainous region of
Iran. The study area is in southwestern Iran. The region has experienced numerous extreme …

Forest fires threaten a large part of the world's forests, communities, and industrial plants,
triggering technological accidents (Natechs). Forest fire modelling with respect to …

In recent years, advances in computational power have led to an increase in attempts to
model the behaviour of wildland fires and to simulate their spread across landscape. The …

In an emergency situation, evacuation is conducted in order to displace people from a
dangerous place to a safer place, and it usually needs to be done in a hurry. It is necessary …

The need for an independent and comprehensive risk assessment system for all natural
disasters in Australia was recognised by the Council of Australian Governments (COAG) …

We present and illustrate the simulation results of a cellular automata model describing the
dynamics of a forest fire spread on a mountainous landscape taking into account factors …

This paper is using a fuzzy classification system for human reliability analysis in order to
calculate the probability of erroneous actions according to CREAM in specific contexts eg …

This study performs a comparative evaluation of Frequency Ratio (FR), Analytic Hierarchy
Process (AHP), and Fuzzy AHP (FAHP) modeling techniques for forest fire susceptibility …