Compară metode

	Extensia Dual Hesitant Fuzzy a EDAS	Procesul Analitic al Rețelei (AHP cu feedback și interdependențe)	Metoda Best-Worst	BWM Bayesian
Domeniu	Luarea deciziilor	Luarea deciziilor	Luarea deciziilor	Luarea deciziilor
Familie	MCDM	MCDM	MCDM	MCDM
Anul apariției	2023	1996	2015	2020
Autorul original	Ning, B., Lin, R., Wei, G., Chen, X.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Tip	Dual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)	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
Sursa seminală	Ning, B., Lin, R., Wei, G., Chen, X. (2023). EDAS method for multiple attribute group decision making with probabilistic dual hesitant fuzzy information and its application to suppliers selection. Technological and Economic Development of Economy	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
Denumiri alternative	—	—	—	—
Înrudite	8	8	8	8
Rezumat	DHF-EDAS (Dual Hesitant Fuzzy extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Ning, B., Lin, R., Wei, G., Chen, X. in 2023. 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.