AN ANALYSIS OF OPTIMUM PROCESS PARAMETERS USING FUZZY LOGIC AND REGRESSION ANALYSIS

Abstract

Solving complex systems can be efficiently achieved through the application of Fuzzy models. The Taguchi design of experiments enables the identification of optimal parameters for a process with a reduced number of experiments. Regression analysis serves as a valuable tool for modelling and analysing the relationships among various influential variables and a dependent variable