Using Rule-based Fuzzy Cognitive Maps to Model Dynamic Cell Behavior in Voronoi Based Cellular Automata

Abstract

This paper focus on the use of Rule Based Fuzzy Cognitive Maps to represent cell behaviour in Voronoi Based Cellular Automata in order to model the dynamics of temporal and spatial propagation processes. As an application example, the proposed approach is applied to modelling and simulation of forest fire propagation.