Abstract
This study illustrates the nonlinear Arash Model (AM) in Data Envelopment Analysis (DEA) to distinguish between technical efficient DMUs and arrange both technical efficient and inefficient DMUs at the same time. It demonstrates how the proposed model it is able to eliminate the computational complexity of using most super-efficiency with selecting the variety of weights and scale. The nonlinear AM optimizes the efficiency score of linear AM, too. Some related propositions to the proposed model are proved which are also examined with a numerical example. The results clearly depict the differences between nonlinear and linear Arash Model and introduce the nonlinear AM as a valuable model in DEA..
| Original language | English (US) |
|---|---|
| Pages (from-to) | 4268-4273 |
| Number of pages | 6 |
| Journal | Research Journal of Applied Sciences, Engineering and Technology |
| Volume | 5 |
| Issue number | 17 |
| State | Published - May 10 2013 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
- Computer Science(all)
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Nonlinear arash model in DEA. / Khezrimotlagh, Dariush; Salleh, Shaharuddin; Mohsenpour, Zahra.
In: Research Journal of Applied Sciences, Engineering and Technology, Vol. 5, No. 17, 10.05.2013, p. 4268-4273.Research output: Contribution to journal › Article
TY - JOUR
T1 - Nonlinear arash model in DEA
AU - Khezrimotlagh, Dariush
AU - Salleh, Shaharuddin
AU - Mohsenpour, Zahra
PY - 2013/5/10
Y1 - 2013/5/10
N2 - This study illustrates the nonlinear Arash Model (AM) in Data Envelopment Analysis (DEA) to distinguish between technical efficient DMUs and arrange both technical efficient and inefficient DMUs at the same time. It demonstrates how the proposed model it is able to eliminate the computational complexity of using most super-efficiency with selecting the variety of weights and scale. The nonlinear AM optimizes the efficiency score of linear AM, too. Some related propositions to the proposed model are proved which are also examined with a numerical example. The results clearly depict the differences between nonlinear and linear Arash Model and introduce the nonlinear AM as a valuable model in DEA..
AB - This study illustrates the nonlinear Arash Model (AM) in Data Envelopment Analysis (DEA) to distinguish between technical efficient DMUs and arrange both technical efficient and inefficient DMUs at the same time. It demonstrates how the proposed model it is able to eliminate the computational complexity of using most super-efficiency with selecting the variety of weights and scale. The nonlinear AM optimizes the efficiency score of linear AM, too. Some related propositions to the proposed model are proved which are also examined with a numerical example. The results clearly depict the differences between nonlinear and linear Arash Model and introduce the nonlinear AM as a valuable model in DEA..
UR - http://www.scopus.com/inward/record.url?scp=84877110731&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877110731&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84877110731
VL - 5
SP - 4268
EP - 4273
JO - Research Journal of Applied Sciences, Engineering and Technology
JF - Research Journal of Applied Sciences, Engineering and Technology
SN - 2040-7459
IS - 17
ER -