Efficiency Measurement of Delivery Post Offices Using Fuzzy Data Envelopment Analysis (Possibility Approach)

This article integrates fuzzy set theory in Data Envelopment Analysis (DEA) framework to compute technical efficiency scores when input and output data are imprecise. In conventional DEA inputs and outputs data are precise. However, traffic and transportation take place in an uncertain environment and input and output data might be imprecise. This article proposes a possibility approach for solving DEA models with fuzzy data. For the special case in which fuzzy membership functions of fuzzy data are trapezoidal, the possibility approach transforms fuzzy DEA models into linear programming models. By using a group of five post offices in Serbia, this approach is empirically illustrated.