A Neutrosophic Micro Vague Correlation Measure: Application to Multi-Criteria Decision Making Problems

Abstract

Statistical methods called correlation measures are employed to express the degree of association or relationship between two variables. The correlation coefficient which may be computed in a variety of ways is the most often used kind of correlation measure in many disciplines including biology, psychology, economics, and finance. Knowing the correlations between variables is essential for analysis and decision-making. This paper aims to commence a novel type of correlation measure called Neutrosophic Micro vague Correlation Measure and Neutrosophic Micro Vague Weighted Correlation Measure. Further demonstrates the implementation of the Neutrosophic Micro Vague correlation measure in the MCDM Problem. By adopting a more inclusive approach to Neutrosophic micro-vague correlation analysis, researchers and practitioners can gain a more comprehensive understanding of the intricate relationships within their datasets.