Abstract: Clustering is an unsupervised method for grouping data points based on their similarities. The quality of clustering outcomes typically relies on distance metrics, which measure the degree ...

Abstract: Ranking circular Pythagorean fuzzy sets using distance-based techniques involves calculating the distance between a circular Pythagorean fuzzy set and a reference point that represents ...