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| AHP-BOCR× | Multi-Attribute Utility Theory× | |
|---|---|---|
| Fachgebiet | Entscheidungsfindung | Entscheidungsfindung |
| Familie | MCDM | MCDM |
| Entstehungsjahr≠ | 2008 | 1976 |
| Urheber≠ | Thomas L. Saaty (AHP); BOCR framework development extended AHP | Keeney, R. L., Raiffa, H. |
| Typ≠ | Hierarchical pairwise comparison with strategic perspective | Additive multi-attribute utility function |
| Wegweisende Quelle≠ | Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98. DOI ↗ | Keeney, R. L., Raiffa, H. (1976). Decisions with Multiple Objectives: Preferences and Value Trade-offs. Wiley ISBN: 978-0-521-43883-4 |
| Aliasnamen≠ | AHP-BOCR, Strategic Criteria AHP | — |
| Verwandt≠ | 5 | 8 |
| Zusammenfassung≠ | AHP-BOCR is an extension of the Analytic Hierarchy Process that incorporates strategic perspectives through the BOCR framework: Benefits, Opportunities, Costs, and Risks. Instead of optimizing a single objective, AHP-BOCR decomposes decisions into four strategic dimensions and uses a formula (Benefits × Opportunities) / (Costs × Risks) to synthesize a strategic priority. This approach is particularly suited to long-term, complex decisions with multiple stakeholder perspectives. | MAUT (Multi-Attribute Utility Theory) is a ranking multi-criteria decision-making (MCDM) method introduced by Keeney, R. L., Raiffa, H. in 1976. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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