Interval-Valued Neutrosophic Extension of EDAS Method

Abstract

EDAS (Evaluation Based on Distance from Average Solution) is based on the distances of each alternative from the average solution with respect to each criterion. This method is similar to distance based multi-attribute decision making methods such as TOPSIS and VIKOR. It simplifies the calculation of distances to ideal solution and determines the final decision rapidly. EDAS method has been already extended to its ordinary fuzzy, intuitionistic fuzzy and Type-2 fuzzy versions. In this paper, we extend EDAS method to its interval-valued neutrosophic version with the advantage of considering a decision maker's truthiness, falsity and indeterminacy simultaneously. The proposed method has been applied to a multi-criteria and multi-expert supplier selection problem and a sensitivity analysis is conducted to check the robustness of the given decisions, also the deneutrosophicated decision matrix and weight of the criteria are applied to crisp EDAS and crisp TOPSIS method to check the robustness of our method.