MCDMRankingcrisp
Sensitivity Analysis — Systematic assessment of output variation w.r.t. input perturbations
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.
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Sources
- Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI: 10.1002/0470870958 ↗
Referenced by
Deterministic Markov ModelDeterministic Scenario AnalysisDeterministic System DynamicsHybrid Reliability AnalysisMulti-objective Scenario AnalysisMulti-objective sensitivity analysisPolicy Scenario AnalysisPolicy Scenario Monte Carlo SimulationPolicy Scenario Sensitivity AnalysisRobust Agent-Based ModelingRobust MicrosimulationRobust Monte Carlo SimulationRobust Multi-Objective OptimizationRobust Scenario AnalysisScenario AnalysisSensitivity Analysis with Quality Function DeploymentStochastic Markov ModelStochastic Scenario AnalysisStochastic Sensitivity AnalysisStochastic System Dynamics