An Algorithm Based on Correlation Coefficient Under Neutrosophic hypersoft set environment with its Application for Decision-Making

Abstract

The correlation coefficient among the two parameters plays a significant part in statistics. Further,
the exactness in the assessment of correlation depends upon information from the set of discourse.
The data collected for various statistical studies is full of ambiguities. In this paper, we discuss some
basic concepts which are helpful to build the structure of present research such as soft set, hypersoft
set, and neutrosophic hypersoft set (NHSS). The neutrosophic hypersoft set is an extension of the
neutrosophic soft set. In it, we establish the idea of correlation and weighted correlation coefficients
with some desirable properties under NHSS. We also, propose a new decision-making technique
and construct an algorithm based on developed correlation measures. Furthermore, To ensure the
applicability of the proposed methods an illustrative example is given.