Sammenlign metoder

	Analyse av flere målsettinger i scenarier	Analyse av politikkscenarier
Fagfelt	Simulering	Simulering
Familie	Process / pipeline	Process / pipeline
Opprinnelsesår	2013 (integrated framework); scenario analysis roots: 1967	1967–1990s
Opphavsperson	Stewart, French & Rios (integration formalized); scenario analysis roots: Kahn & Wiener (1967)	Kahn, H. & Wiener, A. J. (seminal); adapted for policy by RAND Corporation and OECD
Type	Structured qualitative-quantitative hybrid	Qualitative-quantitative hybrid scenario method
Opprinnelig kilde	Stewart, T. J., French, S., & Rios, J. (2013). Integrating multicriteria decision analysis and scenario planning: Review and extension. Omega, 41(4), 679-688.	Swart, R., Raskin, P., Robinson, J. (2004). The problem of the future: sustainability science and scenario analysis. Global Environmental Change, 14(2), 137–146.
Alias	MOSA, Multi-criteria scenario analysis, Multi-objective futures analysis, MO-scenario analysis	PSA, Policy Scenarios, Policy Impact Scenario Analysis, Counterfactual Policy Analysis
Relaterte	4	5
Sammendrag	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.	Policy Scenario Analysis is a structured method for evaluating how different policy interventions perform across a range of plausible future states. By pairing specific policy levers with alternative scenarios, analysts can assess robustness, trade-offs, and unintended consequences of policy choices before implementation — making it a cornerstone of evidence-based policy design in fields from climate to public health.