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.
Read the full method
Sign in with a free account to read this section.
Method map
The neighbourhood of related methods — select a node to explore.
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.
Sources
- Nuriyev, M. (2020). Z-numbers Based Hybrid MCDM Approach for Energy Resources Ranking and Selection. International Journal of Energy Economics and Policy DOI: 10.32479/ijeep.9950 ↗
How to cite this page
ScholarGate. (2026, June 2). Z-Number Preference Ranking Organization Method (II). ScholarGate. https://scholargate.app/en/decision-making/z-promethee
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- AHPDecision-making↔ compare
- BWMDecision-making↔ compare
- CRITICDecision-making↔ compare
- ENTROPYDecision-making↔ compare
- MERECDecision-making↔ compare
- SWARADecision-making↔ compare
- Z-AHPDecision-making↔ compare
- Z-BWMDecision-making↔ compare