Generalized Neutrosophic TOPSIS to Solve Multi-Criteria Decision-Making Problems

Abstract

Multi-criteria decision making (MCDM) is the technique of selecting the best alternative
from multiple alternatives and multiple conditions. The technique for order preference by similarity
to an ideal solution (TOPSIS) is a crucial practical technique for ranking and selecting different
options by using a distance measure. In this article, we protract the fuzzy TOPSIS technique to
neutrosophic fuzzy TOPSIS, and prove the accuracy of the method by explaining the MCDM
problem with single-value neutrosophic information, and use the method for supplier selection in
the production industry. We hope that this article will promote future scientific research on
numerous existence issues based on multi-criteria decision making.