University of Sistan and Baluchestan Iranian Journal of Fuzzy Systems 1735-0654 5 2 2008 06 08 ESTIMATING THE PARAMETERS OF A FUZZY LINEAR REGRESSION MODEL ESTIMATING THE PARAMETERS OF A FUZZY LINEAR REGRESSION MODEL 1 19 322 10.22111/ijfs.2008.322 EN A. R. Arabpour Faculty of Mathematics and Computer Sciences, Shahid Bahonar University of Kerman, Kerman, Iran M. Tata Faculty of Mathematics and Computer Sciences, Shahid Bahonar University of Kerman, Kerman, Iran Journal Article 2007 01 08 Fuzzy linear regression models are used to obtain an appropriate linear relation between a dependent variable and several independent variables in a fuzzy environment. Several methods for evaluating fuzzy coefficients in linear regression models have been proposed. The first attempts at estimating the parameters of a fuzzy regression model used mathematical programming methods. In this thesis, we generalize the metric defined by Diamond and use it as a criterion to estimate these parameters. Our method, is not only computationally easy to handle, but, when compared with earlier methods, has a smaller the sum of errors of estimation. https://ijfs.usb.ac.ir/article_322_89ab18dcd4fa63d8116aaf289ebdb6b0.pdf