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Normalització Doble Basada en Agregació Múltiple×Pesos objectius per correlació de criteris i desviació estàndard×
CampPresa de decisionsPresa de decisions
FamíliaMCDMMCDM
Any d'origen20202010
Autor originalLiao, H., Wu, X.Wang, Y. M., Luo, Y.
TipusDual-normalisation aggregation (linear + vector)Correlation-penalised standard-deviation weighting
Font seminalLiao, 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 ↗
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ResumDNMA (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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ScholarGateCompara mètodes: DNMA · CCSD. Recuperat el 2026-06-15 de https://scholargate.app/ca/compare