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Bayesian BWM×가법 비율 평가×2단계 정규화를 고려한 대안 순위 결정 방법×
분야의사결정의사결정의사결정
계열MCDMMCDMMCDM
기원 연도202020102022
창시자Mohammadi, M., Rezaei, J.Zavadskas, E. K., Turskis, Z.Zdravković, M., Hamid, M., Radovanović, M.
유형Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decisionAdditive utility ratio (optimal reference row)Two-step normalisation (linear + vector) with weighted power aggregation
원전Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗
별칭
관련888
요약BWM-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.ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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