Σύγκριση μεθόδων

	Επέκταση Dual Hesitant Fuzzy της μεθόδου EDAS	Αναλυτική Ιεραρχική Διαδικασία	Μέθοδος Καλύτερου-Χειρότερου	Bayesian BWM
Πεδίο	Λήψη Αποφάσεων	Λήψη Αποφάσεων	Λήψη Αποφάσεων	Λήψη Αποφάσεων
Οικογένεια	MCDM	MCDM	MCDM	MCDM
Έτος προέλευσης	2023	1980	2015	2020
Δημιουργός	Ning, B., Lin, R., Wei, G., Chen, X.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Τύπος	Dual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Θεμελιώδης πηγή	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. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	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
Εναλλακτικές ονομασίες	—	—	—	—
Συναφείς	8	8	8	8
Σύνοψη	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.	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.	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.