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Multi-objective Scenario Analysis/Evidence
Method evidence record

Multi-objective Scenario Analysis

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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Multi-objective Scenario Analysis — Evaluating alternative futures across multiple competing objectives
Taxonomic method record · process-pipeline / simulation
  • Stewart, T. J., French, S., & Rios, J. (2013). Integrating multicriteria decision analysis and scenario planning: Review and extension. Omega, 41(4), 679-688. · DOI 10.1016/j.omega.2012.09.003
  • Schoemaker, P. J. H. (1995). Scenario planning: A tool for strategic thinking. Sloan Management Review, 36(2), 25-40. · URL
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketMulti-Objective Optimizationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPolicy Scenario Analysismachine-suggested · Relational suggestion, not evidence.See alsoSENSITIVITY-ANALYSISmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStochastic Scenario Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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