The estimate of loss of electric power under conditions of uncertainty by using fuzzy regression analysis with asymmetrical triangular coefficients

The purpose of this work is to define the coefficients in asymmetrical regression model for the elimination of situations, when the symmetric triangular fuzzy models do not cover all types of system vagueness, which interferes with the effective utilization of models with symmetric triangular coefficients. Using the given approach, we can receive more authentic results by the estimation of losses of electrical energy on real power object. Besides, if the disorder and size of criterion function can be minimized using asymmetrical coefficients, an illegibility of system parameters thus is minimized.