MCDMDecision-makingRankingMath steps
Fuzzy AROMAN — Fuzzy extension of AROMAN
FUZZY-AROMAN (Fuzzy AROMAN — Fuzzy extension of AROMAN) is a ranking multi-criteria decision-making (MCDM) method introduced by Bošković et al. in 2023. 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
fuzzy-aroman extends AROMAN to handle Fuzzy uncertainty. All arithmetic operations (normalisation, weighting, distance computation) are performed using Triangular Fuzzy Number (TFN: l, m, u) algebra. The final scores are defuzzified via centroid (l+m+u)/3 before ranking.
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
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Common pitfalls
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Sources
- 1.Bošković et al. (2023). Fuzzy Alternative Ranking Order Method Accounting for two-step Normalization. IEEE Access
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Cite this page
ScholarGate. (2026, June 2). FUZZY-AROMAN. ScholarGate. https://scholargate.app/decision-making/fuzzy-aroman