Methoden vergelijken

	Dubbele Normalisatie-Gebaseerde Meervoudige Aggregatie	Analytic Hierarchy Process	Bayesiaanse BWM
Vakgebied	Besluitvorming	Besluitvorming	Besluitvorming
Familie	MCDM	MCDM	MCDM
Jaar van ontstaan	2020	1980	2020
Grondlegger	Liao, H., Wu, X.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Type	Dual-normalisation aggregation (linear + vector)	Pairwise comparison (eigenvalue)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Oorspronkelijke bron	Liao, H., Wu, X. (2020). DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making. Omega	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega
Aliassen	—	—	—
Verwant	8	8	8
Samenvatting	DNMA (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.