Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| AHP-BOCR× | Fuzzy AHP× | Multi-Attribute Utility Theory× | |
|---|---|---|---|
| Fagfelt | Beslutningstaking | Beslutningstaking | Beslutningstaking |
| Familie | MCDM | MCDM | MCDM |
| Opprinnelsesår≠ | 2008 | 1983 | 1976 |
| Opphavsperson≠ | Thomas L. Saaty (AHP); BOCR framework development extended AHP | Van Laarhoven, P. J. M., Pedrycz, W. | Keeney, R. L., Raiffa, H. |
| Type≠ | Hierarchical pairwise comparison with strategic perspective | Pairwise comparison with Triangular Fuzzy Number (TFN: l, m, u) judgments — umbrella over Van Laarhoven-Pedrycz 1983, Buckley 1985, Chang 1992 extent analysis, Cheng 1996 entropy-based | Additive multi-attribute utility function |
| Opprinnelig kilde≠ | Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98. DOI ↗ | Van Laarhoven, P. J. M., Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy Sets and Systems DOI ↗ | Keeney, R. L., Raiffa, H. (1976). Decisions with Multiple Objectives: Preferences and Value Trade-offs. Wiley ISBN: 978-0-521-43883-4 |
| Alias≠ | AHP-BOCR, Strategic Criteria AHP | — | — |
| Relaterte≠ | 5 | 8 | 8 |
| Sammendrag≠ | 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. | FUZZY-AHP (Fuzzy AHP — Fuzzy extension of the Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Van Laarhoven, P. J. M., Pedrycz, W. in 1983. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | 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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