Sitatistical ana lyses 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 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.
time complexity rank consistency duality approach faculty member selection singular value decomposition (svd) linear regression analytic hierarchy process (ahp) analysis of variance (anova)