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A New Multi-Attribute Decision-Making Method Based on Similarity Measures of SVTN-Numbers

In this study, the authors develop a new decision-making method on single-valued trapezoidal neutrosophic numbers (SVTN-Numbers) where all the decision information take the form of SVTN-Numbers. To construct the method, some new similarity measures between two SVTN-Numbers are presented. Then, concept of impact value on SVTN-Numbers by using the cut sets of SVTN-Numbers is proposed, and the corresponding properties are discussed. Finally, a real example is introduced and compared with different methods to show the applicability and feasibility of the proposed multi-attribute decision-making method.