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TODIM×Processo Analítico de Rede (AHP com feedback e interdependências)×Método Best-Worst×Bayesian BWM×
ÁreaTomada de decisãoTomada de decisãoTomada de decisãoTomada de decisão
FamíliaMCDMMCDMMCDMMCDM
Ano de origem1992199620152020
Autor originalGomes, L. F. A. M., Lima, M. M. P. P.Saaty, T. L.Rezaei, J.Mohammadi, M., Rezaei, J.
TipoProspect theory (loss aversion pairwise dominance)Weight_Subjective (pairwise comparison, supermatrix, network structure)Pairwise comparison (best-to-others + others-to-worst vectors), LPHierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Fonte seminalGomes, L. F. A. M., Lima, M. M. P. P. (1992). TODIM: Basics and application to multicriteria ranking of projects with environmental impacts. Foundations of Computing and Decision Sciences link ↗Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Outros nomes
Relacionados8888
ResumoTODIM (TOmada de Decisão Interativa e Multicritério (Interactive and Multicriteria Decision Making)) is a ranking multi-criteria decision-making (MCDM) method introduced by Gomes, L. F. A. M., Lima, M. M. P. P. in 1992. 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.
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ScholarGateComparar métodos: TODIM · ANP · BWM · BWM-BAYESIAN. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare