A Novel Decision Support System Based on Fuzzy Multi Criteria Decision Making for Optimizing Machining Parameters
Yusuf Fedai (yusuffedai@osmaniye.edu.tr)
The aim of this study is to develop a novel decision support system, which has never been developed yet, in order to optimize machining parameters. We combine the three distinct methods: experimental design and analysis, fuzzy data envelopment analysis (DEA) and fuzzy analytical hierarchy process (AHP). Firstly, a full factorial experiment including four factors and three levels is carried out. We take into account cutting speed, feed rate, depth of cut and number of cutting tool inserts as fact