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Dubbel normaliseringsbaserad multipel aggregering×Best-Worst Method×
ÄmnesområdeBeslutsfattandeBeslutsfattande
FamiljMCDMMCDM
Ursprungsår20202015
UpphovspersonLiao, H., Wu, X.Rezaei, J.
TypDual-normalisation aggregation (linear + vector)Pairwise comparison (best-to-others + others-to-worst vectors), LP
UrsprungskällaLiao, H., Wu, X. (2020). DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making. Omega DOI ↗Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗
Alias
Närliggande88
SammanfattningDNMA (Double Normalization-Based Multiple Aggregation) is a ranking multi-criteria decision-making (MCDM) method introduced by Liao, H., Wu, X. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateJämför metoder: DNMA · BWM. Hämtad 2026-06-17 från https://scholargate.app/sv/compare