MCDMDecision-makingRankingMath steps
Multi-Objective Optimization on the basis of Simple Ratio Analysis
MOOSRA (Multi-Objective Optimization on the basis of Simple Ratio Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Sarkar, A. Panja, S. C. Das, D. Sarkar, B. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
Key highlights
- 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.
Intuition
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How it works
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When to use it
MOOSRA requires at least one benefit and one cost criterion. If all criteria are benefits/costs, use MOORA instead.
Strengths & limitations
Strengths
- 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.
Limitations
- Results depend on the chosen normalisation, weights, and parameter settings.
Common pitfalls
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Sources
- 1.Sarkar, A., Panja, S. C., Das, D., Sarkar, B. (2015). Developing an efficient decision support system for non-traditional machining process selection. Journal of Intelligent Manufacturing
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Cite this page
ScholarGate. (2026, June 2). MOOSRA. ScholarGate. https://scholargate.app/decision-making/moosra