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Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Extensão Fuzzy Hesitante Dupla do TOPSIS×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 origem2020199620152020
Autor originalWang, R., Li, W., Zhang, T., Han, Q.Saaty, T. L.Rezaei, J.Mohammadi, M., Rezaei, J.
TipoDual 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), LPHierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Fonte seminalWang, R., Li, W., Zhang, T., Han, Q. (2020). New Distance Measures for Dual Hesitant Fuzzy Sets and Their Application to Multiple Attribute Decision Making. Symmetry DOI ↗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
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ResumoDHF-TOPSIS (Dual Hesitant Fuzzy extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Wang, R., Li, W., Zhang, T., Han, Q. in 2020. 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: DHF-TOPSIS · ANP · BWM · BWM-BAYESIAN. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare