Methoden vergleichen

	Gewichtete Ordnungs-Mittelung	Analytic Hierarchy Process	Best-Worst Method	Bayesian BWM
Fachgebiet	Entscheidungsfindung	Entscheidungsfindung	Entscheidungsfindung	Entscheidungsfindung
Familie	MCDM	MCDM	MCDM	MCDM
Entstehungsjahr	1988; GIS extension 1997	1980	2015	2020
Urheber	Yager, R. R.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Typ	Parameterised additive aggregation with reordered criterion weights (AND ↔ WLC ↔ OR continuum)	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Wegweisende Quelle	Yager, R. R. (1988). On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Transactions on Systems, Man, and Cybernetics	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega
Aliasnamen	—	—	—	—
Verwandt	8	8	8	8
Zusammenfassung	OWA (Ordered Weighted Averaging) is a ranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 1988; GIS extension 1997. 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 (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.	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.