Compara mètodes

	Extensió neutrosòfica de EDAS	Procés Analític Jeràrquic	Mètode Millor-Pitjor	BWM bayesià
Camp	Presa de decisions	Presa de decisions	Presa de decisions	Presa de decisions
Família	MCDM	MCDM	MCDM	MCDM
Any d'origen	2021	1980	2015	2020
Autor original	Stanujkić, D., Karabašević, D., Popović, G., Pamučar, D., Stević, Ž., Zavadskas, E. K., Smarandache, F.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Tipus	Neutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3)	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Font seminal	Stanujkić, D., Karabašević, D., Popović, G., Pamučar, D., Stević, Ž., Zavadskas, E. K., Smarandache, F. (2021). A single-valued neutrosophic extension of the EDAS method. Axioms	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
Àlies	—	—	—	—
Relacionats	8	8	8	8
Resum	N-EDAS (Neutrosophic extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Stanujkić, D., Karabašević, D., Popović, G., Pamučar, D., Stević, Ž., Zavadskas, E. K., Smarandache, F. in 2021. 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.