The aim of the present study was the estimation of (co) variance components and genetic parameters for body weight of Moghani sheep, using random regression models based on B-Splines functions. The data set included 9165 body weight records from 60 to 360 days of age from 2811 Moghani sheep, collected between 1994 to 2013 from Jafar-Abad Animal Research and Breeding Institute, Ardabil province,...

We introduce a neural network model for regression in which prediction uncertainty is quantified by Gaussian random fuzzy numbers (GRFNs), newly introduced family of subsets the real line that generalizes both variables and possibility distributions. The output GRFN constructed combining GRFNs induced prototypes using combination operator Dempster's rule Evidence Theory. three units indicate mo...