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Extensão linguística do L2T-COPRAS×Processo de Hierarquia Analítica×Processo Analítico de Rede (AHP com feedback e interdependências)×Bayesian BWM×
ÁreaTomada de decisãoTomada de decisãoTomada de decisãoTomada de decisão
FamíliaMCDMMCDMMCDMMCDM
Ano de origem2021198019962020
Autor originalGai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M.Saaty, T. L.Saaty, T. L.Mohammadi, M., Rezaei, J.
TipoLinguistic outranking/ranking — 2-Tuple Linguistic Variable (2TL: (s_i, α))Pairwise comparison (eigenvalue)Weight_Subjective (pairwise comparison, supermatrix, network structure)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Fonte seminalGai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. (2021). An integrated method for hybrid distribution with estimation of demand matching degree (interval 2-tuple linguistic COPRAS). link ↗Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Outros nomes
Relacionados8888
ResumoL2T-COPRAS (Linguistic extension of L2T-COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. in 2021. 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.
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ScholarGateComparar métodos: L2T-COPRAS · AHP · ANP · BWM-BAYESIAN. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare