Fully Fuzzified Data Envelopment Analysis Model for Performance Measurement: An Improved Method

This paper proposes an improved approach for performance measurement of decision making units in fully fuzzified data envelopment analysis (FFDEA) where, in addition to input and output data, all the variables are considered fuzzy, including the resulting efficiency scores. The FFDEA model is converted into a multi objective linear programing problem, which is solved using lexicographic approach. The advantages of the proposed method over existing methods are discussed. The results show that the proposed method is simpler and computationally more efficient than existing methods in the literature.

Data envelopment analysis, Fuzzy measure, Lexicographic multi objective linear programming.