Complex systems can be effectively solved by Fuzzy models. Taguchi design of experiments will trace the optimum parameters for process with a smaller number of experimentations. Regression analysis will be useful in modelling and analyzing the various influenced variables having the relationship between a dependent variable. In the present paper, we mainly focused on traditional Taguchi approach, Fuzzy logic and Regression analysis methods to obtain the optimum process parameters. We also compare the results of these three methods. From the results we observed that the Fuzzy rule-based models are closer values to experimental data than the other traditional approaches.