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Dubbel normaliseringsbaserad multipel aggregering×Analytic Hierarchy Process×Bayesiansk BWM×
ÄmnesområdeBeslutsfattandeBeslutsfattandeBeslutsfattande
FamiljMCDMMCDMMCDM
Ursprungsår202019802020
UpphovspersonLiao, H., Wu, X.Saaty, T. L.Mohammadi, M., Rezaei, J.
TypDual-normalisation aggregation (linear + vector)Pairwise comparison (eigenvalue)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
UrsprungskällaLiao, H., Wu, X. (2020). DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making. Omega DOI ↗Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Alias
Närliggande888
SammanfattningDNMA (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.AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. 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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ScholarGateJämför metoder: DNMA · AHP · BWM-BAYESIAN. Hämtad 2026-06-19 från https://scholargate.app/sv/compare