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Double Normalization-Based Multiple Aggregation×Paras-Huonoin -menetelmä×
TieteenalaPäätöksentekoPäätöksenteko
MenetelmäperheMCDMMCDM
Syntyvuosi20202015
KehittäjäLiao, H., Wu, X.Rezaei, J.
TyyppiDual-normalisation aggregation (linear + vector)Pairwise comparison (best-to-others + others-to-worst vectors), LP
AlkuperäislähdeLiao, 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 ↗
Rinnakkaisnimet
Liittyvät88
TiivistelmäDNMA (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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ScholarGateVertaile menetelmiä: DNMA · BWM. Haettu 2026-06-17 osoitteesta https://scholargate.app/fi/compare