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.
Read the full method
Sign in with a free account to read this section.
Method map
The neighbourhood of related methods — select a node to explore.
+10 more
When to use it
Sensitivity Analysis — Systematic assessment of output variation w.r.t. input perturbations
Strengths & limitations
- Follows a transparent, reproducible computational procedure that can be audited step by step.
- Handles multiple criteria of differing scales and units within a single decision matrix.
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Sources
- Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI: 10.1002/0470870958 ↗
How to cite this page
ScholarGate. (2026, June 2). Sensitivity Analysis — Systematic assessment of output variation w.r.t. input perturbations. ScholarGate. https://scholargate.app/en/decision-making/sensitivity-analysis