A new spherical aggregation function with the concept of spherical fuzzy difference for spherical fuzzy EDAS and its application to industrial robot selection

In this article, a new fully fuzzy approach is developed for the evaluation based on distance from average solution (EDAS) multi-criteria decision-making (MCDM) using spherical sets (SFSs). The proposed avoids current limitations and drawbacks of distance-based methods in general EDAS method particular information namely, early defuzzification, flaws measures, undefined subtraction division operations. First, employs score function only final step ranking. Second, concept difference introduced to make up operation which backbone as substitute measures. utilized indicate any increase or decrease membership degree, non-membership hesitancy degree performance an alternative criterion than that its peer solution. Then, weighted differences are calculated. total each assessment criteria aggregated appraisal score. Due flaw extant aggregation operators, their results might be misleading. Therefore, guarantees balanced fair aggregation. scores defuzzified, with highest best. Two practical examples MCDM solved comparative study presented demonstrate validate algorithm.