Porovnat metody

	Řazení alternativ se stejnými vahami kritérií	Analytic Hierarchy Process	Analytický síťový proces (AHP se zpětnou vazbou a vzájemnými závislostmi)	Bayesovská BWM
Obor	Rozhodování	Rozhodování	Rozhodování	Rozhodování
Rodina	MCDM	MCDM	MCDM	MCDM
Rok vzniku	2024	1980	1996	2020
Tvůrce	Puška, A., Štilić, A., Pamučar, D., Božanić, D., Nedeljković, M.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Typ	Rank-based equal-weight aggregation with distance from ideal	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Původní zdroj	Puška, A., Štilić, A., Pamučar, D., Božanić, D., Nedeljković, M. (2024). Introducing a Novel multi-criteria Ranking of Alternatives with Weights of Criterion (RAWEC) model. MethodsX	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
Další názvy	—	—	—	—
Příbuzné	8	8	8	8
Shrnutí	RAWEC (Ranking Alternatives With Equal Criteria weights) is a ranking multi-criteria decision-making (MCDM) method introduced by Puška, A., Štilić, A., Pamučar, D., Božanić, D., Nedeljković, M. in 2024. 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.