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Dubbele Normalisatie-Gebaseerde Meervoudige Aggregatie×Objectieve weging van criteria op basis van correlatie en standaarddeviatie×
VakgebiedBesluitvormingBesluitvorming
FamilieMCDMMCDM
Jaar van ontstaan20202010
GrondleggerLiao, H., Wu, X.Wang, Y. M., Luo, Y.
TypeDual-normalisation aggregation (linear + vector)Correlation-penalised standard-deviation weighting
Oorspronkelijke bronLiao, H., Wu, X. (2020). DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making. Omega DOI ↗Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗
Aliassen
Verwant88
SamenvattingDNMA (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.CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateMethoden vergelijken: DNMA · CCSD. Geraadpleegd op 2026-06-17 via https://scholargate.app/nl/compare