METHOD OF ESTIMATION OF THE CORRECTION FACTOR TO THE VALUES OF THE COST OF FUEL FOR GRAIN CARS
This article is devoted to the formulation of the fuzzy multi-criteria tasks of the forecast of fuel costs for cars, in particular for grain harvesters in the forecast of costs at the time of harvest. The algorithm of its solution based on methods of information fuzzy objectives to clear, i.e., determines the total numerical value for the output variable by the method of mean center. To solve the problem experience of neural fuzzy system, which allowed to weed out the worst results of the model parameters and highlight the best performance for the norm of fuel consumption of combine harvesters. There were practical calculations on the basis of a program code in C# that allowed to solve tasks of predicting a value of the correction factor to the rate of fuel consumption for combine harvesters.