Bootstrap in Fuzzy Least Squaras Regression

Fuzzy linear regression models are used to obtain an appropriate linearrelation between a dependent variable and several independent variables in a fuzzyenvironment. Several methods have been proposed for evaluating fuzzy coefficientsin linear regression models. The least squares method in fuzzy linear regressionanalysis is very difficult to use directly, and hence many articles have proposed forestimating regression parameters using linear programming. In this paper, we useBootstrap method to improve the parameters of a fuzzy linear regression model.We showed that the sum of errors of the obtained estimators is significantly smallerthan that of the earlier estimates.