HSSM- MADM Strategy under SVPNS environment

In the present paper, we propose the Hyperbolic Sine Similarity Measure (HSSM) for pentapartitioned neutrosophic sets which is based on hyperbolic sine function. We also establish some properties of the similarity measures by providing some suitable examples. Further we develop an MADM (Multi-Attribute-Decision-Making) model for single valued pentapartitioned neutrosophic set (SVPNS) environment based on the similarity measure which we call HSSM-MADM strategy. We also validate our proposed model by solving a numerical example