Medical Diagnosis Using Distance-Based Similarity Measures Of Single Valued Neutrosophic Multisets

Abstract

This paper proposes a generalized distance measure and its similarity measures between single valued<br> neutrosophic multisets (SVNMs). Then, the similarity measures are applied to a medical diagnosis problem<br> with incomplete, indeterminate and inconsistent information. This diagnosis method can deal with the diagnosis<br> problem with indeterminate and inconsistent information which cannot be handled by the diagnosis method<br> based on intuitionistic fuzzy multisets (IFMs).