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| Uchambuzi wa Hisia za Malengo Mengi× | Uchambuzi wa Hisia× | |
|---|---|---|
| Nyanja≠ | Uigaji | Ufanyaji Maamuzi |
| Familia≠ | Process / pipeline | MCDM |
| Mwaka wa asili≠ | 1990s–2000s | 2004 |
| Mwanzilishi≠ | Evolved from classical sensitivity analysis (Saltelli et al.) combined with multi-objective optimization (Pareto, 1896) | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. |
| Aina≠ | Analytical technique — parametric sensitivity across multiple objectives | Robustness wrapper — parameter / weight perturbation sensitivity indices |
| Chanzo asilia≠ | Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. Wiley, Chichester. ISBN: 9780470059975 | Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗ |
| Majina mbadala≠ | MOSA, Multi-criteria sensitivity analysis, Pareto sensitivity analysis, Multi-objective SA | — |
| Zinazohusiana≠ | 4 | 0 |
| Muhtasari≠ | Multi-Objective Sensitivity Analysis (MOSA) examines how changes in model parameters, weights, or assumptions affect an entire set of competing objectives simultaneously. Rather than asking how a single output shifts, MOSA tracks changes in the Pareto front or trade-off surface, revealing which parameters most destabilize multi-objective solutions and where decision-maker choices are robust versus fragile. | 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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