This study examined the energy use pattern of poultry for egg production farms of Iran and
ranked the selected farmers using fuzzy data envelopment analysis (FDEA) from the viewpoint of
energy efficiency. Since data used in our study were not measured precisely, fuzzy forms of them
could help us to reach the ideal situations. Hence, the conventional data envelopment analysis (DEA)
was remodeled using triangular fuzzy numbers and finally the resulted efficiency scores of decision
making units (DMUs) were compared. Those with efficiency score of less than one were reported as
inefficient units and they were also ranked by calculating an index. The results of this study indicated
that from 40 poultry farms selected randomly, 33 of them were inefficient. FDEA was performed
using α-cut approach and eleven α-levels (0 to 1 by 0.1) were examined. According to our results, the
efficiency scores showed a decreasing trend as α- levels increasing to crisp situations. It is obvious that
applying fuzzy data can show the real situation more accurately. Based on the results of this study,
decision makers and farmers can improve their attitudes against energy use and applying well
established practices. To achieve this, firstly, we should distinguish efficient units from inefficient
ones.
Keywords: Energy Efficiency, Fuzzy Data Envelopment Analysis, Feed Intake, Poultry, Egg
Production.
Sefeedpari P, Rafiee S, Akram A. Selecting Energy Efficient Poultry Egg Producers: A Fuzzy Data Envelopment Analysis Approach. International Journal of Applied Operational Research 2012; 2 (2) URL: http://ijorlu.liau.ac.ir/article-1-143-en.html