A note on DEA models in technology selection: an improvement of Karsak and Ahiska's approach |
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| Authors: | Gholam R. Amin Ali Emrouznejad |
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| Affiliation: | 1. Postgraduate Engineering Center , Islamic Azad University of South Tehran Branch , Tehran, Iran G_Amin@azad.ac.ir;3. Operations &4. Information Management Aston Business School , Aston University , Birmingham B4 7ET, UK |
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| Abstract: | This paper introduces a compact form for the maximum value of the non-Archimedean in Data Envelopment Analysis (DEA) models applied for the technology selection, without the need to solve a linear programming (LP). Using this method the computational performance the common weight multi-criteria decision-making (MCDM) DEA model proposed by Karsak and Ahiska (International Journal of Production Research, 2005, 43(8), 1537–1554) is improved. This improvement is significant when computational issues and complexity analysis are a concern. |
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| Keywords: | Technology selection DEA Maximum non-Archimedean |
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