Porovnať metódy

	Komplexné proporcionálne hodnotenie	Analytic Hierarchy Process	Metóda najlepšieho a najhoršieho (Best-Worst Method)	Bayesovská BWM
Odbor	Rozhodovanie	Rozhodovanie	Rozhodovanie	Rozhodovanie
Rodina	MCDM	MCDM	MCDM	MCDM
Rok vzniku	1996	1980	2015	2020
Tvorca	Zavadskas, E. K., Kaklauskas, A.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Typ	Proportional assessment (benefit/cost split)	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Pôvodný zdroj	Zavadskas, E. K., Kaklauskas, A. (1996). Determination of an Efficient Contractor by Using the New Method of Multicriteria Assessment. International Symposium for The Organization and Management of Construction. Shaping Theory and Practice. Vol. 2: Managing the Construction Project and Managing Risk. CIB W 65	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
Ďalšie názvy	—	—	—	—
Príbuzné	8	8	8	8
Zhrnutie	COPRAS (Complex Proportional Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Kaklauskas, A. in 1996. 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.