The purpose of this paper is to deal with the problem of least-squares multiple regression with fuzzy data. The constant regression coefficient is assumed to be symmetric triangular, and other coefficients are real (crisp). By applying symmetric triangular approximations of fuzzy numbers, a new method for computing the regression coefficients is proposed. The new method is efficient and easy to determine the coefficients.
['Chi-Tsuen Yeh']
A formula for fuzzy linear regression analysis