A Novel Interval-Valued Spherical Fuzzy EDAS: An Application to IT Auditor Selection

Abstract

AbstractEvaluation based on Distance from Average Solution (EDAS) is an efficient multi-criteria decision making (MCDM) method, which determines the desirability of alternatives based on the total distance of alternatives from their corresponding averages for each criterion. Spherical fuzzy sets, as the recent extensions of ordinary fuzzy sets, use the idea of Pythagorean and Neutrosophic sets and enable decision-makers to express their membership, non-membership, and hesitancy degrees independently and in a larger domain than most other fuzzy extensions. On the other hand, interval-valued spherical fuzzy sets provide an increased area of fuzziness modeling capacity than the first single-valued type. This paper proposes a new interval-valued spherical fuzzy EDAS method and provides extra space for catching the vagueness in the nature of decision-making problems. The feasibility and practicality of the proposed model are illustrated with an application for evaluating the information technology (IT) auditor selection problem. Sensitivity analyses for criterion and decision-maker weights and a comparative analysis are also presented in the study.KeywordsMulti-criteria decision makingInterval-valued spherical fuzzy setsEDASIT auditor selection