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 |
| DOIs | |
| State | Published - 2013 |
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Engineering(all)
Fingerprint Dive into the research topics of 'Nonlinear arash model in DEA'. Together they form a unique fingerprint.
Cite this
Khezrimotlagh, D., Salleh, S., & Mohsenpour, Z. (2013). Nonlinear arash model in DEA. Research Journal of Applied Sciences, Engineering and Technology, 5(17), 4268-4273. https://doi.org/10.19026/rjaset.5.4415