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:: Volume 2, Issue 2 (6-2012) ::
2012, 2(2): 0-0 Back to browse issues page
Selecting Energy Efficient Poultry Egg Producers: A Fuzzy Data Envelopment Analysis Approach
P. Sefeedpari , S. Rafiee, A. Akram
Abstract:   (8620 Views)
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.
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Type of Study: Research | Subject: Special
Received: 2012/06/11 | Published: 2012/06/15
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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

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Volume 2, Issue 2 (6-2012) Back to browse issues page
ژورنال بین المللی پژوهش عملیاتی International Journal of Applied Operational Research - An Open Access Journal
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