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RAFSI×Аналитичен йерархичен процес×Байесов BWM×
ОбластВземане на решенияВземане на решенияВземане на решения
СемействоMCDMMCDMMCDM
Година на възникване202019802020
СъздателŽižović, M., Pamučar, D., Albijanić, M., Chatterjee, P., Pribićević, I.Saaty, T. L.Mohammadi, M., Rezaei, J.
ТипFunctional interval mapping (rank-reversal free)Pairwise comparison (eigenvalue)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Основополагащ източникŽižović, M., Pamučar, D., Albijanić, M., Chatterjee, P., Pribićević, I. (2020). Eliminating Rank Reversal Problem Using a New Multi-Attribute Model — The RAFSI Method. Mathematics DOI ↗Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Други названия
Свързани888
РезюмеRAFSI (Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval) is a ranking multi-criteria decision-making (MCDM) method introduced by Žižović, M., Pamučar, D., Albijanić, M., Chatterjee, P., Pribićević, I. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. 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.
ScholarGateНабор от данни
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  3. PUBLISHED
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  3. PUBLISHED
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  2. 1 Източници
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ScholarGateСравнение на методи: RAFSI · AHP · BWM-BAYESIAN. Извлечено на 2026-06-19 от https://scholargate.app/bg/compare