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Dobbelt Normaliseringsbaseret Multipel Aggregering×Bayesian BWM×
FagområdeBeslutningstagningBeslutningstagning
FamilieMCDMMCDM
Oprindelsesår20202020
OphavspersonLiao, H., Wu, X.Mohammadi, M., Rezaei, J.
TypeDual-normalisation aggregation (linear + vector)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Oprindelig kildeLiao, H., Wu, X. (2020). DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making. Omega DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Aliasser
Relaterede88
ResuméDNMA (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-BAYESIAN (Bayesian BWM — Probabilistic Group Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Mohammadi, M., Rezaei, J. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateSammenlign metoder: DNMA · BWM-BAYESIAN. Hentet 2026-06-17 fra https://scholargate.app/da/compare