On the similarity measures of N-cubic Pythagorean fuzzy sets using the overlapping ratio

Abstract The similarity measures are essential concepts to discuss the closeness between sets. Fuzzy and intuitionistic fuzzy dealt with incomplete inconsistent data more efficiently. With time in decision-making theory, a complex frame of environment that occurs cannot be specified entirely by these A generalization like Pythagorean set can handle such situation applicability this attracted researchers generalize it into N-Pythagorean, interval-valued N-cubic For purpose, first, we define overlapping ratios N-interval valued N-Pythagorean In addition, We applied proposed measure for comparison analysis plagiarism software.