Sensitivity analysis method to address user disparities in the analytic hierarchy process
| Autor: | Marie L. Ivanco, Jennifer Grimsley Michaeli, Gene Hou |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
021103 operations research
User profile Computer science business.industry Analytic network process 0211 other engineering and technologies General Engineering Analytic hierarchy process 02 engineering and technology Machine learning computer.software_genre Computer Science Applications Group decision-making Ranking Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Pairwise comparison Sensitivity (control systems) Artificial intelligence business computer Decision analysis |
| Zdroj: | Expert Systems with Applications. 90:111-126 |
| ISSN: | 0957-4174 |
| DOI: | 10.1016/j.eswa.2017.08.003 |
| Popis: | 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 decision 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 analysis 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 aggregation 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 alternatives. An aerospace design and engineering example that requires group decision making is presented to demonstrate and validate the proposed methodology. |
| Databáze: | OpenAIRE |
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