Neutrosophic extension of CODAS
N-CODAS (Neutrosophic extension of CODAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Badi, I., Sanja, K., Obradović, R. — NOTE: paper uses LNN (Linguistic NS), not SVNN. SVNN CODAS originator unknown. in 2018. 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-codas extends CODAS 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-CODAS — SVN extension; "Yüksel 2020" anchor UNCONFIRMED per LVR.
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Cite this page
ScholarGate. (2026, June 2). N-CODAS. ScholarGate. https://scholargate.app/decision-making/n-codas