Development of fuzzy-single valued neutrosophic MADM technique to improve performance in manufacturing and supply chain functions

Abstract

The single valued neutrosophic set (SVNS) is an ideal set of neutrosophic set, which includes the information in degree of truthness, degree of indeterminacy and degree of falsehood. The objective of this chapter is to develop a new approach for multi attribute decision making (MADM) which works with conversion on crisp/fuzzy set into single valued neutrosophic set and with a Novel technique which works with uncertainty, imprecise, indeterminate and inconsistent information. The proposed technique was applied to a case study of selection of automated guided vehicle (AGV) for flexible manufacturing cell in a given industrial application. The validation shows that ranking with the proposed technique gives more efficient, more accurate and less computational effort than other MADM methods. The positive side of the technique is that it gives the solution without calculating attributes weights, which is not possible in other MADM methods. The proposed technique gives better solutions with more uncertainty, indeterminate, imprecise and inconsistent information.