Statistical analyses on time complexity and rank consistency between singular value decomposition and the duality approach in AHP: A case study of faculty member selection

In faculty member selection, the large number of candidates is often a great challenge to the selection committee. A large number of candidates requires a large number of pairwise comparison matrices which leads to considerable time to obtain the final ranking of candidates. To determine a suitable...

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Bibliographic Details
Main Authors: MAMAT, N, DANIEL, J
Format: Article
Language:English
Published: PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/2999/
http://shdl.mmu.edu.my/2999/1/1024.pdf
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Summary:In faculty member selection, the large number of candidates is often a great challenge to the selection committee. A large number of candidates requires a large number of pairwise comparison matrices which leads to considerable time to obtain the final ranking of candidates. To determine a suitable approach we compared the singular value decomposition (SVD) and the duality approach in. AHP for the average time taken to obtain a final ranking of candidates and compared them for their rank consistency. Simulation results showed that SVD is three times faster than the duality approach in AHP. A linear regression study and a two-way ANOVA study of the two approaches are presented. (C) 2007 Elsevier Ltd. All rights reserved.