A Comparative Study of Similarity Measures: Socio-Economic Decision Making in India using Neutrosophic Binary Sets

Abstract

This paper focuses on the unemployment crisis across the southern states of India using neutrosophic binary
sets and various similarity measures. The Euclidean and Hamming distance measures for neutrosophic binary sets is validated. Moreover, The cosine similarity measures and correlation coefficient based similarity measure are formulated for
neutrosophic binary sets to forecast the decision making process. Finally, a comparitive analysis is made between these measures using the unemployment data and enhance the measure which provide the highest accuracy in forecasting state with
low unemployment rates to high unemployment rates. 

DOI: 10.5281/zenodo.17041941