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Rough-SAW×Bayesian BWM×
BidangPembuatan KeputusanPembuatan Keputusan
KeluargaMCDMMCDM
Tahun asal20172020
PengasasStević, Ž. Pamučar, D. Zavadskas, E.K. Ćirović, G. Prentkovskis, O.Mohammadi, M., Rezaei, J.
JenisRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Sumber perintisStević, 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 ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Alias
Berkaitan88
RingkasanROUGH-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.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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ScholarGateBandingkan kaedah: ROUGH-SAW · BWM-BAYESIAN. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare