COMPARISON OF FUZZY REGRESSION MODELS BASED ON LAD USING THE WEAKEST Tw-NORM BASED OPERATIONS

Fuzzy regression models have been applied to operational research applications such as forecasting. The weakest t-norm (Tw) based fuzzy regression model is developed using the concept of least absolute deviation defined between the observed and the estimated dependent values. This study compares the efficiency of each estimated with the different measures based on LAD. The fuzzy regression model using LAD based on Hausdorff distance is evaluated with a case study of investigating the relationship between Diesel Fuel properties and emissions from engines.