ALI REZA ARABPOUR
MOHAMMAD ALI YAGHOOBI

This paper considers a fuzzy linear regression model with fuzzy input-output data and crisp coefficients. To find the coefficients of the model a new approach based on multi-objective linear programming is developed. Both symmetric and non-symmetric data can be considered in the developed model. The performance of the new model is compared with some existing methods based on simulation studies and numerical examples.

Fuzzy Regression, Fuzzy Input and Output Data, Multi-Objective Programming