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

Rough-SAW×Processo Analítico de Rede (AHP com feedback e interdependências)×Método Best-Worst×
ÁreaTomada de decisãoTomada de decisãoTomada de decisão
FamíliaMCDMMCDMMCDM
Ano de origem201719962015
Autor originalStević, Ž. Pamučar, D. Zavadskas, E.K. Ćirović, G. Prentkovskis, O.Saaty, T. L.Rezaei, J.
TipoRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Weight_Subjective (pairwise comparison, supermatrix, network structure)Pairwise comparison (best-to-others + others-to-worst vectors), LP
Fonte seminalStević, Ž., Pamučar, D., Zavadskas, E.K., Ćirović, G., Prentkovskis, O. (2017). The Selection of Wagons for the Internal Transport of a Logistics Company: A Novel Approach Based on Rough BWM and Rough SAW Methods. 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 ↗
Outros nomes
Relacionados888
ResumoROUGH-SAW (Rough-SAW — Rough extension of SAW) is a ranking multi-criteria decision-making (MCDM) method introduced by Stević, Ž. Pamučar, D. Zavadskas, E.K. Ćirović, G. Prentkovskis, O. in 2017. 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.
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ScholarGateComparar métodos: ROUGH-SAW · ANP · BWM. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare