تقدير الانحدار الحصين باستخدام المقدرات الضبابية الحصينة اعتمادا على الدوال الرتبية

الملخص EN

The idea of the Research Boston finding the combination of stones robust estimate for parameter of regression linear model integration method M estimator with fuzzy estimates represents the regression model and The algorithms of the function of education to obtain the best estimator represents the regression model and by using mean squares error and utilizing spared criterion for favorite function to fuzzy number after testing it by using triangular membership function After that we transform the fuzzy number to ranking function to know which of these ranking function are efficient to find the parameters estimators for linear simple regression model by utilizing the mean squares error.

Key words: fuzzy number, ranking function, robust function.