Use of One-factor Design of Experiments (DOE) for Regression Modeling: A Robust Methodology

In the present research era, high accuracy methods as a statistical analysis tool are increasing. Therefore, researchers more focused to produce reliable and accurate results. Hence, use of data modeling techniques is meet needs current trend. On other hand, Design Experiment (DOE) extensively used among various scientific fields; however, its limitations do not allow these study designs for purposes. this was designed develop methodology combining that can provide one-factor DOE predictions. The addition Fuzzy regression multilayer feedforward (MLFF) neural network along with multiple linear would results accuracy. Furthermore, developed tested on dataset test methodology's performance provided models through MLR fuzzy testing model's predictability MLFF.