Neutrosophic extension of VIKOR
N-VIKOR (Neutrosophic extension of VIKOR) is a ranking multi-criteria decision-making (MCDM) method introduced by Bausys, R., Zavadskas, E. K. 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
n-vikor extends VIKOR 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.
- May exhibit rank reversal when alternatives are added to or removed from the set.
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Common pitfalls
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Sources
- 1.Tooranloo, Hossein Sayyadi, Ayatollah, Arezoo Sadat (2024). Neutrosophic VIKOR approach for multi-attribute group decision-making. Operations Research and Decisions
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ScholarGate. (2026, June 2). N-VIKOR. ScholarGate. https://scholargate.app/decision-making/n-vikor