Neutrosophic extension of WPM
N-WPM (Neutrosophic extension of WPM) is a ranking multi-criteria decision-making (MCDM) method introduced by Ye, J. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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When to use it
n-wpm extends WPM 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.
Sources
- Ye, J. (2014). A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets. Journal of Intelligent & Fuzzy Systems DOI: 10.3233/IFS-130916 ↗
How to cite this page
ScholarGate. (2026, June 2). Neutrosophic extension of WPM. ScholarGate. https://scholargate.app/en/decision-making/n-wpm
Which method?
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