Correlation Measures for q-rung Orthopair m-polar Fuzzy Sets with Application to Pattern Recognition

Correlation provides a relationship between two quantities with the help of certain statistical data. It shows the strength of the relationship amongst different alternatives. q-rung orthopair fuzzy setting offers extended space for the selection of values of the two components. There is no iota in the fact that the multipolarity factor reduces the chances of error. We study correlation in the framework of q-rung orthopair m-polar fuzzy set to judge the efficiency of this system in real-life problems and decision-making. We present some major characteristics of the correlation measure in the said setting. An application to pattern recognition is also incorporated. To elaborate on the ideas of correlation measures and q-rung orthopair m-polar fuzzy set, we instigate a comparison analysis to probe the supremacy and dominance of propound abstraction.