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Normalisasi Berganda Berasaskan Normalisasi Berganda×Bayesian BWM×
BidangPembuatan KeputusanPembuatan Keputusan
KeluargaMCDMMCDM
Tahun asal20202020
PengasasLiao, H., Wu, X.Mohammadi, M., Rezaei, J.
JenisDual-normalisation aggregation (linear + vector)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Sumber perintisLiao, H., Wu, X. (2020). DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making. Omega DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Alias
Berkaitan88
RingkasanDNMA (Double Normalization-Based Multiple Aggregation) is a ranking multi-criteria decision-making (MCDM) method introduced by Liao, H., Wu, X. in 2020. 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: DNMA · BWM-BAYESIAN. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare