Methoden vergelijken

	Gewogen Ideale Oplossing Punt	Analytic Hierarchy Process	Beste-Worst Methode	Bayesiaanse BWM
Vakgebied	Besluitvorming	Besluitvorming	Besluitvorming	Besluitvorming
Familie	MCDM	MCDM	MCDM	MCDM
Jaar van ontstaan	2020	1980	2015	2020
Grondlegger	Stanković, M., Stević, Ž., Das, D. K., Subotić, M., Pamučar, D.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Type	Ideal solution proximity (four score components)	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Oorspronkelijke bron	Stanković, M., Stević, Ž., Das, D. K., Subotić, M., Pamučar, D. (2020). A new fuzzy MARCOS method for road traffic risk analysis. Mathematics	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
Aliassen	—	—	—	—
Verwant	8	8	8	8
Samenvatting	WISP (Weighted Ideal Solution Point) is a ranking multi-criteria decision-making (MCDM) method introduced by Stanković, M., Stević, Ž., Das, D. K., Subotić, M., Pamučar, D. 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 (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.