Modeling Environmental Processes with Soft Computing Methods1

Abstract: The greatest challenge of environmental management is to create balance between increasing civilisation demands and decreasing natural resources. There is an essential need of the of information about the current state of the environment and tools for predicting how this state would be change due to different effects. We propound the requirements of evaluation of the state of the environment, then review three Soft Computing methods and their feasibility in modelling environmental processes. The GRID based CNN, FUZZY RULES and CA seem to be promisable for modelling complex, highly nonlinear processes and able to ground tool-kit for supporting environmental decision making