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Doble Normalización Basada en Agregación Múltiple×Ponderación objetiva por correlación de criterios y desviación estándar×
CampoToma de decisionesToma de decisiones
FamiliaMCDMMCDM
Año de origen20202010
Autor originalLiao, H., Wu, X.Wang, Y. M., Luo, Y.
TipoDual-normalisation aggregation (linear + vector)Correlation-penalised standard-deviation weighting
Fuente 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 ↗
Alias
Relacionados88
ResumenDNMA (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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ScholarGateComparar métodos: DNMA · CCSD. Recuperado el 2026-06-15 de https://scholargate.app/es/compare