Similarity measures of Pythagorean fuzzy soft sets and clustering analysis

Pythagorean fuzzy set (PFS) is a broadening of intuitionistic that can represent the situations where sum membership and non-membership values exceeds one. Adding parameterization to PFS, we obtain structure named as soft (PFSS). It has higher capacity deal with vagueness it captures both structures PFS set. Several practical demand measure similarity between two structures, whose value There are no existing tools PFSS this paper put forward measures for PFSS. An axiomatic definition proposed certain expressions introduced. Further, some theorems which express properties proved. A comparative study carried out. Also, clustering algorithm based on introduced by utilizing measure.