A fuzzy combined linear regression model for fuzzy initial data, which are tolerant (L -R)-numbers with constraints on the functions L and JR, is designed. The model is called combined since it is a combination of two regression models-a fuzzy model and a classical model. Its coefficients are determined as unimodal (L - R)-numbers. The solution method consists in determining weighted intervals for the tolerant (L - R)-numbers and then applying of the least-squares method.
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