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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.