The application of fuzzy DEA in evaluating the efficiency of wheat production Case study: city of Torbat e Hydarieh
Subject Areas : Agricultural Economics Researchفاطمه دادمند 1 , زهرا ناجی عظیمی 2
1 - دانشجوی دکتری مدیریت گرایش تحقیق در عملیات دانشگاه فردوسی مشهد.
2 - دانشیار گروه مدیریت دانشگاه فردوسی مشهد.
Keywords: fuzzy DEA, FSBM model, FCCR model,
Abstract :
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.
- اوحدی، ن. اکبری، ا. و شهرکی، ج.1394. کاربرد تحلیل پوششی داده ها برای تعیین کارایی پسته کاران شهرستان سیرجان. پژوهشات اقتصاد و توسعه کشاورزی ایران 46(1)، 60-51.
- عبدشاهی، ع. تاکی، م. گلابی م. ر. و حداد، م. 1392. بررسی کارایی انرژی محصول گندم به روش تحلیل پوششی داده ها مطالعه موردی دشت مهیار شهرستان شهرضا . اقتصاد و کشاورزی 7(4)، 74-57.
- عجب شیرچی اسکویی، ی. تاکی، م. عبدی، ر. قبادی فر، ا. و رنجبر، ا. 1390. بررسی کارایی انرژی مصرفی در کشت گندم دیم توسط تکنیک تحلیل پوششی داده ها (DEA) مطالعه موردی: دشت سیلاخور. ماشین های کشاورزی 1 (2)، 132-122.
- کاظمی، م. نیکخواه فرخانی، ز. 1388. کاربست تحلیل پوششی داده ها در اندازه گیری و تحلیل کارایی نسبی شهرستانهای استان خراسان رضوی در کشت گندم دیم. نشریه اقتصاد و توسعه کشاورزی(علوم و صنایع کشاورزی) 23(2)، 94-87.
- کریمی، ف. پیراسته، ح. زاهدی کیوان، م.1387. تعیین کارایی زراعت گندم با توجه به دو عامل زمان و ریسک با استفاده از تحلیل پوششی داده های بازه ای و تحلیل پوششی داده های پنجره ای. اقتصاد کشاورزی و توسعه16(64)، 159-139.
- مردانی، م. سرگزی، ع. و صبوحی صابونی، م. 1392. بررسی کارایی مزارع گندم سیستان با استفاده از تلفیق مدل بهینه سازی با پارامترهای کنترل کننده میزان محافظه کاری و تحلیل پوششی داده ها .(RDEA) اقتصاد و توسعه کشاورزی )علوم و صنایع کشاورزی) 27(3)، 187-180.
Refrences
- Aigner, D., Lovell, K. & Schmidt, P. (1997). Formulation and estimation of stochastic frontier models. Journal of Econometrics 6, no. 1: PP. 21-37.
- Alemdar, T.,& Ören, N. (2014). Determinants of technical of wheat farming in southeastern Anatolia Turkey: a nonparamtric technical efficiency analysis. Journal of applied science 6: PP.827-830.
- Bellman, R., & Zadeh, L. ( 1970). Decision-making in a fuzzy environment. Management Science 17 : PP. 141–164.
- Bray, S., Caggiania,L., & Ottoman, M. (2015). Measuring transport systems efficiency under uncertainty by fuzzy sets theory based Data Envelopment Analysis: theoretical and practical comparison with traditional DEA model. Transportation Research Procedia 5: PP. 186 – 200.
- Charnes, A., Cooper, W.W. & Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research 2, no. 6: PP. 429-444.
- Chen, C.B, & Klein, C.M. (1997). A simple approach to ranking a group of aggregated fuzzy utilites. IEEE transations on systems, man and cybernetics cybernetics 27: PP.26-35.
- Coelli, T., Rao, D.S.P.& Battese, G. E. (1998). An Introduction to Efficiency and Productivity Analysis. Kluwer Academic Publishers.
- Gołaszewski, J., Van Der Voort, M. Meyer-aurich, A. Silva, L.L. Balafoutis, A. & Mikkola, H. (2014).Case studies and comparative analysis of energy efficiency in wheat production in different climatic conditions. International conference of agricultural engineering. Zurich, 6-10 July. http://www.geyseco.es/ageng2014/eposter/?seccion=index_posters&tipo=oral
- Guo, P. , & Tanaka, H. (2001). Fuzzy DEA: a perceptual evaluation method. Fuzzy Sets and Systems 119: PP.149-160.
- Hadi-Vencheha, A., & Kazemi, M. (2011). An application of IDEA to wheat farming efficiency. Agricultural Economics 42:PP. 487–493.
- Han, Y. , Geng, Z. Zhu, Q. & Qu, Y. (2015). Energy efficiency analysis method based on fuzzy DEA cross-model for ethylene production systems in chemical industry. Energy 83:PP. 685-695.
- Hosseinzadeh-Bandbafha, H., Safarzadeh, D. & Ahmadi, E. (2016). Optimization of energy consumption of dairy farms using data envelopment analysis – A case study: Qazvin city of Iran. Journal of the Saudi Society of Agricultural Sciences. http://dx.doi.org/10.1016/j.jssas. 2016.04.006, 2016.
- Kao, C., & Liu, ST. (2000). Data Envelopment Analysis with Missing Data: An Application to University Libraries in Taiwan. JORS 51, no. 8: PP. 897-905.
- Khoshnevisan, B., Rafiee, SH. & Omi, M. (2013). Applying data envelopment analysis approach to improve energy efficiency and reduce GHG (greenhouse gas) emission of wheat production. Energy 58: PP.588-593.
- Khoshnevisan, B. , Rafiee, SH. , Omid, M., Mousazadeh, H., Shamshirband, SH., & Hafizah Ab Hamid, S. (2015). Developing a fuzzy clustering model fo rbetter energy use in farm management systems. Renewable and Sustainable Energy Reviews 48: PP.27–34.
- Lertworasirikul, S., Fang, S.C., Joines, J., & Nuttle, H. (2003).Fuzzy data envelopment analysis (DEA): a possibility approach." Fuzzy Sets and Systems 139: PP.379-394.
- Mardani , M. , & Salarpour, M. (2015).Measuring technical efficiency of potato production in Iran using robust data envelopment analysis. INFORMATION PROCESSING IN AGRICULTURE 2: PP.6–14.
- Masuda, K. (2016). Measuring eco-efficiency of wheat production in Japan: a combined application of life cycle assessment and data envelopment analysis. Journal of Cleaner Production 126: PP.373-381.
- Mobtaker, HG., Keyhani, A., Mohammadi , A., Rafiee , S., & Akram, A. (2010). Sensitivity analysis of energy inputs for barley production. Agric Ecosyst Environ 137: PP. 367-372.
- Mugera, A. W. (2012). Measuring technical efficiency of dairy farms with imprecise data: a fuzzy data envelopment analysis approach. Australian Journal of Agricultural and Resource Economics 57: PP. 501–519.
- Nabavi-Pelesaraei , A., Hosseinzadeh, H., Qasemi-Kordkheili , P., Kouchaki-Penchah, H., & Riahi-Dorcheh, F. (2016). Applying optimization techniques to improve of energy efficiency and GHG (greenhouse gas) emissions of wheat production. Energy 103: PP. 672-678.
- Nabavi-Pelesaraei, A., Abdi, R., Rafiee, SH., & Bagheri, I. (2014). Determination of efficient and inefficient units for watermelon production-a case study: Guilan province of Iran. Journal of the Saudi Society of Agricultural Sciences http://dx.doi.org/10.1016/j.jssas. 2014.11.001, 2014.
- Puri , J., and Prasad Yadav, SH. (2013). A concept of fuzzy input mix-efficiency in fuzzy DEA and its application in banking sector. Expert Systems with Applications 40: PP. 1437–1450.
- Saati, H., Mohtadi, S., Memariani, S., and Jahanshahloo, G. (2002). Efficiency Analysis and Ranking of DMUs with Fuzzy Data. Fuzzy Optimization and Decision Making 1: PP. 255-267.
- Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research 130: PP. 498–509.
- Zadeh, L.A. (1965). Fuzzy sets. Information and Control 8: PP. 338–353.
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