Ranking of decision-making units in Pythagorean fuzzy CCR model using data envelopment analysis

Data envelopment analysis is a mathematical linear programming based method where the overall effectiveness of a set of decision-making units is assessed for accomplishing the task. In this communication, we have projected Pythagorean fuzzy entropy DEA model with the inclusion of the Pythagorean fuzzy information which has a more extensive sense of flexibility in contrast with the intuitionistic fuzzy information. Furthermore, an approach to solve a decision-making problem with Pythagorean fuzzy information has been well presented with a defined set of weights. A numerical example based on evaluation of five government universities has also been provided for illustrating the projected methodology.