Fuzzy Efficiency in Fully Fuzzy Data Envelopment Analysis Based on a Linear Ranking Function

This paper carries out a research on the relational DEA models in the fully imprecise environment where, in addition to input and output data, variables are represented by triangular fuzzy numbers. This study proposes a new method to solve fuzzy DEA model using the conversion of this model into a crisp linear programming problem based on regular fuzzy arithmetic on the constraints and a linear ranking function on the fuzzy objective function.

کلیدواژه ها:

Data envelopment analysis ، Fuzzy numbers ، Efficiency