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Ossadnik, W., Schinke, S., & Kaspar, R. H. (2016). Group aggregation techniques for analytic hierarchy process and analytic network process: a comparative analysis. Group Decision and Negotiation, 421–457. Added by: Klaus D. Goepel (07 Jun 2019 05:23:18 Asia/Singapore) Last edited by: Klaus D. Goepel (11 Jun 2019 09:46:07 Asia/Singapore) |
| Resource type: Journal Article DOI: 10.1007/s10726-015-9448-4 BibTeX citation key: Ossadnik2016 Email resource to friend View all bibliographic details  |
Categories: AHP/ANP Keywords: aggregation of individual judgments (AIJ), aggregation of individual priorities (AIP), Analytic Hierarchy Process (AHP), Analytic Network Process (ANP), group aggregation, group decision, group decision making Creators: Kaspar, Ossadnik, Schinke Publisher: Springer Collection: Group Decision and Negotiation |
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| Abstract |
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The analytic hierarchy process (AHP) and the analytic network process (ANP) are important multiple criteria decision making methods for supporting complex, discrete strategic management decision problems. In order to exploit a broader information basis as well as to achieve a sufficient degree of objectivity strategic decision settings are mostly embedded into a multi-personal decision context to which different individuals with expert status contribute. Owing to the fact that there is a vast number of different methods and further internal possibilities (derivation of means) to aggregate the individual expert preferences to a group consensus, the first aim of this paper is to present a comprehensive literature review on various aggregation possibilities. The second aim is the conduction of a transparent comparative analysis of selected approaches and methods (geometric/arithmetic aggregation of individual judgments, geometric/arithmetic aggregation of individual priorities, geometric/arithmetic loss function approach and Group AHP model). Therefore, we use four different evaluation scenarios and point out under which assumptions which solution is suitable. Starting from these results, the aggregation techniques adequate to a specific decision context are provided.
Added by: Klaus-admin Last edited by: Klaus D. Goepel |
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open access
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