Compara mètodes

	Extensió neutrosòfica de RAWEC	Analytic Network Process (AHP amb retroalimentació i interdependències)	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	2024	1996	2015	2020
Autor original	Mohamed, Mai; Salam, Amira; Ye, Jun (2024) — SVTrN variant. Crisp RAWEC: Puška et al. 2024. No SVNN RAWEC paper confirmed.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Tipus	Single-Valued Triangular Neutrosophic RAWEC — SVTrN ((l,m,u); T,I,F)	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
Font seminal	Mohamed, Mai, Salam, Amira, Ye, Jun (2024). Selection of Sustainable Material for the Construction of Drone Aerodynamic Wing using Neutrosophic RAWEC. Systems Assessment and Engineering Management	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
Àlies	—	—	—	—
Relacionats	8	8	8	8
Resum	N-RAWEC (Neutrosophic extension of RAWEC) is a ranking multi-criteria decision-making (MCDM) method introduced by Mohamed, Mai; Salam, Amira; Ye, Jun (2024) — SVTrN variant. Crisp RAWEC: Puška et al. 2024. No SVNN RAWEC paper confirmed. in 2024. 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.