Similarity Measure for m-Polar Interval Valued Neutrosophic Soft Set with Application for Medical Diagnoses

Abstract

The similarity measure is used to tackle many issues that include indistinct as well as blurred 
information excluding is not in a position to deal with the general fuzziness along with obscurity of 
the problems that have various information. The main purpose of this research is to propose a multi
polar interval-valued neutrosophic soft set (mPIVNSS) with operations and basic properties. We 
also develop Hamming distance and Euclidean distance by using mPIVNSS and numerical 
examples and use the developed distances to introduce similarity measures. By using the developed 
similarity measures a decision-making approach is presented for mPIVNSS. Finally, we used the 
developed decision-making approach for medical diagnosis.