Σύγκριση μεθόδων

	Νευτροσοφική επέκταση της EDAS	Αναλυτική Ιεραρχική Διαδικασία	Αναλυτική Διαδικασία Δικτύου (ANP με ανατροφοδότηση και αλληλεξαρτήσεις)	Bayesian BWM
Πεδίο	Λήψη Αποφάσεων	Λήψη Αποφάσεων	Λήψη Αποφάσεων	Λήψη Αποφάσεων
Οικογένεια	MCDM	MCDM	MCDM	MCDM
Έτος προέλευσης	2021	1980	1996	2020
Δημιουργός	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.
Τύπος	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
Θεμελιώδης πηγή	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
Εναλλακτικές ονομασίες	—	—	—	—
Συναφείς	8	8	8	8
Σύνοψη	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.