Abstract
AbstractDeveloped machining processes for hard materials are known as non-traditional machining (NTM) processes. The selection of the best NTM process in the manufacturing industry is a significant problem. In this paper, literature related to decision expert systems and data collected for NTM processes analyzed and an m-polar fuzzy set based selection of NTM processes methodology is developed. A conceptual design of the m-polar fuzzy set system is explained and implemented. Two problems are solved with the method. Problem solved by m-polar fuzzy set algebra is considering subgroups of parameters. The m-polar fuzzy set algorithm methodology is explained step by step. It gives nearly the same results as obtained in previous literature work for obtaining through cavities in metals and non-metals. It’s observed m-polar fuzzy set can be used in the selection of the NTM process.Keywordsm-polarFuzzy setExpert systemNTMPs
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