Compară metode

	Metoda Range of Value	Proces Ierarhic Analitic	Metoda Best-Worst	BWM Bayesian
Domeniu	Luarea deciziilor	Luarea deciziilor	Luarea deciziilor	Luarea deciziilor
Familie	MCDM	MCDM	MCDM	MCDM
Anul apariției	1993	1980	2015	2020
Autorul original	Yakowitz, D. S., Lane, L. J., Szidarovszky, F.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Tip	Interval utility (optimistic–pessimistic bounds)	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Sursa seminală	Yakowitz, D. S., Lane, L. J., Szidarovszky, F. (1993). Multi-attribute decision making: Dominance with respect to an importance order of the attributes. Applied Mathematics and Computation	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
Denumiri alternative	—	—	—	—
Înrudite	8	8	8	8
Rezumat	ROV (Range of Value method) is a ranking multi-criteria decision-making (MCDM) method introduced by Yakowitz, D. S., Lane, L. J., Szidarovszky, F. in 1993. 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.