A Fully Fuzzy Network DEA Approach for Revenue Efficiency Measurement based on Ranking Functions

The present paper attempts to measure the concept of revenue efficiency in the fully Fuzzy Network Data Envelopment Analysis. Due to lack of practical actual measurements of real-world data, the assumption of thorough accuracy of data in solving problems cannot be so valid. A good way to solve such problem is taking advantage of Fuzzy Data, so linear ranking functions are used here to change the Fully Fuzzy Revenue Efficiency model into a precise linear programming problem, and with assuming Triangular Fuzzy Numbers, the Fuzzy Revenue Efficiency of decision makers is analyzed. Finally, a numerical example is used to represent the proposed method

Keywords:

Network data envelopment analysis , Fully fuzzy linear programming , Ranking function.