Neutrosophic Topsis method based on Manhattan distance and its application to personnel selection

In this paper, we have introduced a new distance measure between two single-valued Neutrosophic using Manhattan distance.Then, we extend TOPSIS strategy forsolving multi-attribute decision making problems in neutrosophic environment. weused Manhattan distance instead of the Euclidean distance to calculate separationmeasure between each alternative with positive and negative neutrosophic ideal so-lutions. Finally, to demonstrate the applicability and effectiveness of the proposedstrategy, a personnel selection problem is solved by the proposed algorithm.

Keywords:

Neutrosophic set , Single valued neutrosophic numbers , Multi-Attribute Decision Making , Topsis , Manhattan distance