ПРОГНОЗИРОВАНИЕ УРОЖАЙНОСТИ ЗЕРНОВЫХ КУЛЬТУР С ИСПОЛЬ- ЗОВАНИЕМ СИСТЕМ НЕЧЕТКОЙ ЛОГИКИ
FORECASTING THE YIELD OF GRAIN CROPS USING FUZZY LOGIC SYSTEMS

Summary/Abstract: The grain industry has a special place in the export of Ukraine. Ukraine takes the third place for some years in the world by grain supply to the foreign markets. That’s why the problem solving of the agricultural production stability is one of the most important tasks of agricultural industrial complex. The successful forecasts play important role in this. The best forecasts are realized when the qualitative model of the object is developed. Two approaches of the predictive model development are considered in the paper: traditional mathematical and using fuzzy logic systems. The models take into account the influence of climatic factors on grain crops yield.

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