Methoden vergelijken

	TOPSIS-Sort	Analytic Hierarchy Process	ANP	Bayesiaanse BWM
Vakgebied	Besluitvorming	Besluitvorming	Besluitvorming	Besluitvorming
Familie	MCDM	MCDM	MCDM	MCDM
Jaar van ontstaan	2016	1980	1996	2020
Grondlegger	Sabokbar, H. F., Hosseini, A., Banaitis, A., Banaitiene, N.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Type	TOPSIS-based sorting with boundary profiles	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Oorspronkelijke bron	Sabokbar, H. F., Hosseini, A., Banaitis, A., Banaitiene, N. (2016). A novel sorting method TOPSIS-SORT: An application for Tehran environmental quality evaluation. E+M Ekonomie a Management	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega
Aliassen	—	—	—	—
Verwant	8	8	8	8
Samenvatting	TOPSIS-SORT (TOPSIS-Sort — TOPSIS-based sorting of alternatives into ordered categories) is a sorting multi-criteria decision-making (MCDM) method introduced by Sabokbar, H. F., Hosseini, A., Banaitis, A., Banaitiene, N. in 2016. 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.	ANP (Analytic Network Process (AHP with feedback and interdependences)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1996. 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.