Comparer des méthodes

	Méthode TAXONOMY	ANP	Méthode Meilleur-Pire	BWM bayésien
Domaine	Prise de décision	Prise de décision	Prise de décision	Prise de décision
Famille	MCDM	MCDM	MCDM	MCDM
Année d'origine	1951	1996	2015	2020
Auteur d'origine	Florek, K., Łukaszewicz, J., Perkal, J., Steinhaus, H., Zubrzycki, S.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
Type	Taxonomic distance composite index (z-score + Euclidean ideal)	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
Source fondatrice	Florek, K., Łukaszewicz, J., Perkal, J., Steinhaus, H., Zubrzycki, S. (1951). Taksonomia wrocławska. Przegląd Antropologiczny	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
Alias	—	—	—	—
Apparentées	8	8	8	8
Résumé	TAXONOMY (Taxonomy Method — Wrocław Taxonomic Development Measure) is a ranking multi-criteria decision-making (MCDM) method introduced by Florek, K., Łukaszewicz, J., Perkal, J., Steinhaus, H., Zubrzycki, S. in 1951. 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.