Paper Title
New Method for Measuring the Similarity of Generalized Fuzzy Numbers
Abstract
This paper proposes a novel similarity measure based on the quadratic mean operator and collocated with
Bevel-projection Difference Averaging operator (BPDA) to solve the similarity measurement problem involving generalized
fuzzy numbers. Some properties of similarity measure are proposed, and 57 sets of generalized fuzzy numbers are used to
compare the proposed method with the existing similarity measurement method. The results show that the proposed similarity
measure is better to the existing method.
Index Terms - Generalized Fuzzy Number, Quadratic Mean, Similarity Measure.