University of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-06545220080608ESTIMATING THE PARAMETERS OF A FUZZY LINEAR
REGRESSION MODELESTIMATING THE PARAMETERS OF A FUZZY LINEAR REGRESSION MODEL11932210.22111/ijfs.2008.322ENA. R.ArabpourFaculty of Mathematics and Computer Sciences, Shahid Bahonar
University of Kerman, Kerman, IranM.TataFaculty of Mathematics and Computer Sciences, Shahid Bahonar University
of Kerman, Kerman, IranJournal Article20070108Fuzzy 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