Compară metode

	Extensia neutrosofică a EDAS	Proces Ierarhic Analitic	Procesul Analitic al Rețelei (AHP cu feedback și interdependențe)	BWM Bayesian
Domeniu	Luarea deciziilor	Luarea deciziilor	Luarea deciziilor	Luarea deciziilor
Familie	MCDM	MCDM	MCDM	MCDM
Anul apariției	2021	1980	1996	2020
Autorul original	Stanujkić, D., Karabašević, D., Popović, G., Pamučar, D., Stević, Ž., Zavadskas, E. K., Smarandache, F.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Tip	Neutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3)	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Sursa seminală	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	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
Denumiri alternative	—	—	—	—
Înrudite	8	8	8	8
Rezumat	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.	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.