GENERAL FUZZY REGRESSION USING LEAST SQUARES METHOD
Paper is to deal with a general fuzzy regression model with a best response function for the center and the width of the fuzzy output to explain data involving fuzzy numbers. Two numerical examples are presented comparing a performance of the proposed model based on a least squares method with the other fuzzy regression model studied by many authors.