Porovnať metódy

	UTA*	Analytic Network Process (AHP s väzbami a vzájomnými závislosťami)	Metóda najlepšieho a najhoršieho (Best-Worst Method)	Bayesovská BWM
Odbor	Rozhodovanie	Rozhodovanie	Rozhodovanie	Rozhodovanie
Rodina	MCDM	MCDM	MCDM	MCDM
Rok vzniku	1985	1996	2015	2020
Tvorca	Siskos, Y., Yannacopoulos, D.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Typ	Additive utility disaggregation — LP from ordinal reference judgements	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Pôvodný zdroj	Siskos, Y., Yannacopoulos, D. (1985). UTASTAR: An ordinal regression method for building additive value functions. Investigación Operativa	Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8	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
Ďalšie názvy	—	—	—	—
Príbuzné	8	8	8	8
Zhrnutie	UTASTAR (UTA* — Additive utility disaggregation from reference ranking (revised UTA)) is a ranking multi-criteria decision-making (MCDM) method introduced by Siskos, Y., Yannacopoulos, D. in 1985. 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 (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.