Nonlinear arash model in DEA

Dariush Khezrimotlagh, Shaharuddin Salleh, Zahra Mohsenpour

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


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 languageEnglish (US)
Pages (from-to)4268-4273
Number of pages6
JournalResearch Journal of Applied Sciences, Engineering and Technology
Issue number17
StatePublished - 2013

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Engineering


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