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| Multi-objective Scenario Analysis× | Känslighetsanalys× | |
|---|---|---|
| Ämnesområde≠ | Simulering | Beslutsfattande |
| Familj≠ | Process / pipeline | MCDM |
| Ursprungsår≠ | 2013 (integrated framework); scenario analysis roots: 1967 | 2004 |
| Upphovsperson≠ | Stewart, French & Rios (integration formalized); scenario analysis roots: Kahn & Wiener (1967) | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. |
| Typ≠ | Structured qualitative-quantitative hybrid | Robustness wrapper — parameter / weight perturbation sensitivity indices |
| Ursprungskälla≠ | Stewart, T. J., French, S., & Rios, J. (2013). Integrating multicriteria decision analysis and scenario planning: Review and extension. Omega, 41(4), 679-688. DOI ↗ | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗ |
| Alias≠ | MOSA, Multi-criteria scenario analysis, Multi-objective futures analysis, MO-scenario analysis | — |
| Närliggande≠ | 4 | 0 |
| Sammanfattning≠ | Multi-objective Scenario Analysis (MOSA) is a structured method that constructs a set of plausible future scenarios and evaluates each scenario against multiple competing objectives or criteria. By making trade-offs explicit across objectives and across possible futures, it supports strategic decisions where uncertainty about the future and conflicts between goals co-exist. It is widely applied in energy planning, climate adaptation, public policy, and corporate strategy. | SENSITIVITY-ANALYSIS (Sensitivity Analysis — Systematic assessment of output variation w.r.t. input perturbations) is a ranking multi-criteria decision-making (MCDM) method introduced by Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. in 2004. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatamängd ↗ |
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