The application of fuzzy DEA in evaluating the efficiency of wheat production Case study: city of Torbat e Hydarieh

The increased consumption and the depletion of resources is a key factor for concerning the issue of sustainable consumption. On the other hand, optimal consumption will help to increase production efficiency, profitability and competitiveness. Efficiency index demonstrates how we use our resource. So this article integrates fuzzy set theory in the data envelopment analysis (DEA) to calculate efficiency scores when input and output data are fuzzy. FCCR and FSBM models used for calculate efficiency of farmers. 0.6 to 0.7, 39% between 0.5-0.6, 13% in 0.4-0.5 and the rest were greater than 0.7 efficient and by model FCCRI using the same index 7% of farmers had greater efficiency from 0.8 and 45% of their performance were between 0.7 to 0.8, and 25% in 0.6-0.7, 9% in 0.5-0.6 and 12% in 0.4-0.5. So by using these models no farmers have perfect efficiency.