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ROUGH-MARCOS×贝叶斯BWM×
领域决策决策
方法族MCDMMCDM
起源年份20222020
提出者Matić, B. Marinković, M. Jovanović, S. Sremac, S. Stević, Ž.Mohammadi, M., Rezaei, J.
类型Rough outranking/ranking — Rough number (lower approximation L, upper approximation U)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
开创性文献Matić, B., Marinković, M., Jovanović, S., Sremac, S., Stević, Ž. (2022). Intelligent Novel IMF D-SWARA—Rough MARCOS Algorithm for Selection Construction Machinery for Sustainable Construction of Road Infrastructure. Buildings DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
别名
相关88
摘要ROUGH-MARCOS (Rough-MARCOS — Rough extension of MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Matić, B. Marinković, M. Jovanović, S. Sremac, S. Stević, Ž. in 2022. 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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ScholarGate方法对比: ROUGH-MARCOS · BWM-BAYESIAN. 于 2026-06-18 检索自 https://scholargate.app/zh/compare