Z-Number Preference Ranking Organization Method (II)
Z-PROMETHEE (Z-Number Preference Ranking Organization Method (II)) is a ranking multi-criteria decision-making (MCDM) method introduced by Mahammad Nuriyev (Khazar University, Baku, Azerbaijan); builds on Brans-Vincke 1985 PROMETHEE in 2020. 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
Z-PROMETHEE outputs alternative net flows Φ(a). Higher Φ = better alternative. Φ ranges roughly within [−(m−1), (m−1)] though practical values are smaller. Inspect Φ+ (strengths) and Φ− (weaknesses) for interpretation beyond final rank.
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.
- Results depend on the chosen normalisation, weights, and parameter settings.
Common pitfalls
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Sources
- 1.Nuriyev, M. (2020). Z-numbers Based Hybrid MCDM Approach for Energy Resources Ranking and Selection. International Journal of Energy Economics and Policy
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Cite this page
ScholarGate. (2026, June 2). Z-PROMETHEE. ScholarGate. https://scholargate.app/decision-making/z-promethee