Neutrosophic extension of RAFSI
N-RAFSI (Neutrosophic extension of RAFSI) is a ranking multi-criteria decision-making (MCDM) method introduced by UNCONFIRMED — Irvanizam & Zahara 2024 uses SVTraNN (trapezoidal), not SVNN. No SVN-RAFSI paper found. in undated — internal extension, no dedicated SVN-RAFSI paper. 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
n-rafsi extends RAFSI to handle Neutrosophic uncertainty. All arithmetic operations (normalisation, weighting, distance computation) are performed using Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3) algebra. The final scores are defuzzified via score function S = (T − F + 1)/2 before ranking.
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.
Common pitfalls
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Sources
- 1.(). N-RAFSI — Internal Extension (no SVN-RAFSI paper in literature).
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Cite this page
ScholarGate. (2026, June 2). N-RAFSI. ScholarGate. https://scholargate.app/decision-making/n-rafsi