%0 Journal Article
%T ESTIMATING THE PARAMETERS OF A FUZZY LINEAR
REGRESSION MODEL
%J Iranian Journal of Fuzzy Systems
%I University of Sistan and Baluchestan
%Z 1735-0654
%A Arabpour, A. R.
%A Tata, M.
%D 2008
%\ 06/08/2008
%V 5
%N 2
%P 1-19
%! ESTIMATING THE PARAMETERS OF A FUZZY LINEAR
REGRESSION MODEL
%K Fuzzy linear regression
%K Least squares method
%K Estimate
%R 10.22111/ijfs.2008.322
%X 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.
%U https://ijfs.usb.ac.ir/article_322_89ab18dcd4fa63d8116aaf289ebdb6b0.pdf