Módszerek összehasonlítása

	GRA neutroszofikus kiterjesztése	Analytic Network Process (AHP visszacsatolással és kölcsönhatásokkal)	Legjobb-Legrosszabb Módszer	Bayes-féle BWM
Tudományterület	Döntéshozatal	Döntéshozatal	Döntéshozatal	Döntéshozatal
Módszercsalád	MCDM	MCDM	MCDM	MCDM
Keletkezés éve	2014	1996	2015	2020
Megalkotó	Biswas, P., Pramanik, S., Giri, B. C.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Típus	Neutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Alapmű	Biswas, P., Pramanik, S., Giri, B. C. (2014). Entropy based grey relational analysis method for multi-attribute decision-making under single valued neutrosophic assessments. Neutrosophic Sets and Systems	Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8	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
Alternatív nevek	—	—	—	—
Kapcsolódó	8	8	8	8
Összefoglaló	N-GRA (Neutrosophic extension of GRA) is a ranking multi-criteria decision-making (MCDM) method introduced by Biswas, P., Pramanik, S., Giri, B. C. in 2014. 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 (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.