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Ivanco, M., Hou, G., & Michaeli, J. (2017). Sensitivity analysis method to address user disparities in the analytic hierarchy process. Expert Systems With Applications, 90, 111–126. 
Added by: Klaus D. Goepel (06 Jun 2019 01:01:55 Asia/Singapore)   Last edited by: Klaus D. Goepel (06 Jun 2019 01:06:52 Asia/Singapore)
Resource type: Journal Article
DOI: 10.1016/j.eswa.2017.08.003
BibTeX citation key: Ivanco2017
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Categories: AHP/ANP
Keywords: Analytic Hierarchy Process (AHP), disparities, sensitivity analysis
Creators: Hou, Ivanco, Michaeli
Publisher: Elsevier
Collection: Expert Systems With Applications
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Popularity index: 9.5%
Decision makers often face complex problems, which can seldom be addressed well without the use of structured analytical models. Mathematical models have been developed to streamline and facilitate deci- sion making activities, and among these, the Analytic Hierarchy Process (AHP) constitutes one of the most utilized multi-criteria decision analysis methods. While AHP has been thoroughly researched and applied, the method still shows limitations in terms of addressing user profile disparities. A novel sensitivity anal- ysis method based on local partial derivatives is presented here to address these limitations. This new methodology informs AHP users of which pairwise comparisons most impact the derived weights and the ranking of alternatives. The method can also be applied to decision processes that require the aggre- gation of results obtained by several users, as it highlights which individuals most critically impact the aggregated group results while also enabling to focus on inputs that drive the final ordering of alterna- tives. An aerospace design and engineering example that requires group decision making is presented to demonstrate and validate the proposed methodology.
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Added by: Klaus D. Goepel  Last edited by: Klaus D. Goepel
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