MODELING REGIONAL ECONOMIC DEVELOPMENT APK USING TOOLS OF FUZZY LOGIC CONCLUSION
Tools, implements fuzzy assessment of indicators of regional agriculture, produced by means of Fuzzy Logic Toolbox environment MatLab. For a general analysis of the adequacy of fuzzy models were built surface of fuzzy inference, which allowed to evaluate and correct the impact of changes in the input data to output values of fuzzy variables. The module allows to build fuzzy systems of two types – Mamdani and Sugeno. In the simulation of regional agrarian and industrial complex used Mamdani type fuzzy systems. This is the most common method of inference in the fuzzy systems. It uses a minimax formulation of fuzzy sets, the most suitable for the analysis, evaluation and forecasting performance of regional agriculture. The development of such models requires the creation, adaptation and use appropriate economic and mathematical methods to take into account the inaccuracy, incompleteness and difficulty of formalizing the initial data and the specific interaction of the considered parameters from a sustainable development of regional agriculture. Thus considered, to become a model scenario analysis of agribusiness development, based on fuzzy logic inference, allow to achieve a qualitatively new results in the management of agricultural production.