Multi-Polar Neutrosophic Soft Sets with Application in Medical Diagnosis andDecision-Making

Abstract

A Similarity measure for Neutrosophic function performs a fundamental role in tackling the prob-lems that include blurred and hazed information but is not able to handle the fuzziness and vagueness of theproblems which have numerous information. The objective of this research paper is to generalize neutrosophicsoft set to the multi-polar neutrosophic soft set (mNS set), aggregation operators and their properties onmNSsets. It also discusses the distance-based similarity measures that rely on between twomNS sets. It explainswith the help of examples that the intended similarity measures ofmNS sets are applicable in the field of med-ical diagnosis and decision-making problem for selection of lecturer in universities. Eventually, this proposedmethod is concluded as an algorithm in the application.