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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.
Acknowledgements
We would like to express our appreciation for the valuable comments from Professor John Middle, the editor of IJPR and the anonymous referee for their constructive suggestions which significantly improved the paper.
