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Байесов BWM×Автоматична комбинация на двойки линейни подредби×Метод за подреждане на алтернативи, отчитащ двустъпкова нормализация×
ОбластВземане на решенияВземане на решенияВземане на решения
СемействоMCDMMCDMMCDM
Година на възникване202020202022
СъздателMohammadi, M., Rezaei, J.Konstantinos, N., Xenakis, A., Kehagias, A.Zdravković, M., Hamid, M., Radovanović, M.
ТипHierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decisionPairwise dominance aggregation (automatic combination)Two-step normalisation (linear + vector) with weighted power aggregation
Основополагащ източникMohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research 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 ↗
Други названия
Свързани888
РезюмеBWM-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.APLOCO (Automatic Pairwise Linear Order Combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Konstantinos, N., Xenakis, A., Kehagias, A. in 2020. 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.
ScholarGateНабор от данни
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ScholarGateСравнение на методи: BWM-BAYESIAN · APLOCO · AROMAN. Извлечено на 2026-06-19 от https://scholargate.app/bg/compare