Novikova V. Model analysis and forecast of inflation based on fuzzy decision tree.

The dissertation elaborates on the development of theoretical, methodological and practical principles of forecast unstable economic processes, such as inflation. Based on the analysis of mathematical methods were proved the feasibility of fuzzy sets and the obligation to build a fuzzy decision-making tree for consideration quantitative and qualitative factors influencing the inflation process. The algorithm of application of specific tasks in the decision-making tree was developed. Approaches to process optimization inflation forecasting methods using fuzzy decision-making support system were systemized. The architecture and algorithm of the software and hardware with which returned values of inflation and given appropriate research and practical advice on effective regulation and control of inflation in Ukraine was developed.