Development of TOPSIS Technique under Pythagorean Fuzzy Hypersoft Environment Based on Correlation Coefficient and Its Application towards the Selection of Antivirus Mask in COVID-19 Pandemic

The correlation coefficient between two variables plays an important role in statistics. Also, the accuracy of relevance assessment depends on information from a set discourses. data collected numerous statistical studies are full exceptions. Pythagorean fuzzy hypersoft (PFHSS) is parameterized family that deals with subattributes parameters and appropriate extension soft set. It also generalization intuitionistic (IFHSS), which used to accurately assess insufficiency, anxiety, uncertainties decision-making. PFHSS can accommodate more compared IFHSS, it most substantial methodology describe decision-making process. core objective this study develop notion features weighted for introduce aggregation operators such as average (PFHSWA) geometric (PFHSWG) under scenario. A prioritization technique order preference by similarity ideal solution (TOPSIS) based coefficients presented. Through developed methodology, solving multiattribute group (MAGDM) problem planned. importance its application indicating multipurpose antivirus mask throughout COVID-19 pandemic period brief comparative analysis described advantages, effectiveness, flexibility existing demonstrate effectiveness proposed method.