Shufnarovych M. The system of the intellectual support of making decisions in the natural resources control under uncertain conditions

The thesis researches the development and improvement of methods of the mathematical modeling of the states of nature objects to support intellectually decisions making procedure in the process of anthropogenic and natural load of the territories. On the basis of the analysis of modern methods and systems of intellectual decisions making support the theoretical research of the improvement of the procedure of decisions making support in the management of nature objects involving methods of artificial intelligence is held. The method of modeling of the state of soils in the territory under study using artificial neural networks to set up valid values of heavy metals concentrations isolines is improved. This method is also used to establish ecologically clean areas. The method of classification of the state of soils containing heavy metals is received using fuzzy logic. This method is the basis for the appropriate management decisions to improve soil conditions of the area under study. The method of setting up of mathematical models of complex ecological processes based on genetic algorithms is developed. This method is used to predict oscillatory processes of the water level in Dniester depending on weather conditions. A system of the intellectual support of making decisions based on the results of forecasting water levels in the Precarpathian rivers received from the synthetic mathematical model of river level changes depending on weather conditions on the basis of genetic algorithms is elaborated.