Comparar métodos

	Método Taxonomia	Processo de Hierarquia Analítica	Processo Analítico de Rede (AHP com feedback e interdependências)	Bayesian BWM
Área	Tomada de decisão	Tomada de decisão	Tomada de decisão	Tomada de decisão
Família	MCDM	MCDM	MCDM	MCDM
Ano de origem	1951	1980	1996	2020
Autor original	Florek, K., Łukaszewicz, J., Perkal, J., Steinhaus, H., Zubrzycki, S.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Tipo	Taxonomic distance composite index (z-score + Euclidean ideal)	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Fonte seminal	Florek, K., Łukaszewicz, J., Perkal, J., Steinhaus, H., Zubrzycki, S. (1951). Taksonomia wrocławska. Przegląd Antropologiczny	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega
Outros nomes	—	—	—	—
Relacionados	8	8	8	8
Resumo	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.	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.	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-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.