Another method for evaluating the goodness of fit is to measure distance of two outputs from each other. The nearer the estimated output to the observed one the higher the power of the model to predict the real situation of the cases. However, since the observed response value is a crisp number while the estimated value is a fuzzy number, it is necessary that the fuzzy number should first be changed to a crisp number using defuzzification methods.