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Abstract
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Data envelopment analysis (DEA) is a useful tool to measure and recognize the effectiveness and
performance of decision-making units. On the other hand, analytical hierarchy process (AHP) is a useful tool in the
field of multi-criteria decision-making problems (MCDA) and it can be helpful to rank the set of options with distinct
criteria and choose the best or most appropriate option among them. In 2004, a hybrid method so-called DEAHP
was resulted from AHP and DEA methods proposed or suggested by Ramanatan through which the relative weights
of options and criteria can be obtained from the matrix of paired comparisons. However, the weights generated by
DEAHP may be quite irrational even wrong for a highly inconsistent pairwise comparison matrix. With a violation
example we showed that the proposed model does not preserve the ranking. Therefore, in the current research we
use the symmetric weights for a more logical choice of criteria and options.
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