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2.1. Analytic Hierarchy Process (AHP)

SA Serap Akcan
MG Meral Güldeş
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The AHP proposed by Saaty [16] is one of the frequently used MCDM methods. A hierarchy is identified to show the target on the top and alternatives on the bottom. Then, pairwise comparisons and pairwise comparison matrixes for the criteria in each level are obtained according to Saaty's scale [16]. According to the formula CI=(λmax − n)/(n − 1), (λmax: largest eigenvalue), the consistency index (CI) is computed. Afterward, by taking random index (RI) values from Table 1, the consistency ratio (CR) using the formula CR= CI/RI is computed for each matrix to measure whether the relative estimation is viable. The values of CR should be less than or equal to 0.10 for each matrix.

Random index values [16].

Copyright and License information:  ©2019 Serap Akcan and Meral Güldeş.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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