Cellular Automata (CA) have been introduced many decades ago as one of the most
efficient parallel computational models able to simulate various physical processes and
systems where the interactions are local. In this paper, we are trying to advance the
application of CA in modeling wildfires by accounting for the fuzziness intrinsic to the
numerous environmental variables and mechanisms engaged with the emergence of the
phenomenon itself. The proposed Fuzzy CA (FCA) model adopts a data-driven approach …