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Programowanie celowe×Proces sieci analitycznej (AHP z informacją zwrotną i współzależnościami)×Metoda Najlepszego i Najgorszego (Best-Worst Method)×Bayesian BWM×
DziedzinaPodejmowanie decyzjiPodejmowanie decyzjiPodejmowanie decyzjiPodejmowanie decyzji
RodzinaMCDMMCDMMCDMMCDM
Rok powstania1955199620152020
TwórcaCharnes, A., Cooper, W. W.Saaty, T. L.Rezaei, J.Mohammadi, M., Rezaei, J.
TypMulti-objective optimisation — weighted/lexicographic goal deviation minimisationWeight_Subjective (pairwise comparison, supermatrix, network structure)Pairwise comparison (best-to-others + others-to-worst vectors), LPHierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Źródło pierwotneCharnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science DOI ↗Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Inne nazwy
Pokrewne8888
PodsumowanieGOAL-PROGRAMMING (Goal Programming — Minimise deviations from multiple aspiration levels) is a ranking multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W. in 1955. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.ANP (Analytic Network Process (AHP with feedback and interdependences)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. 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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ScholarGatePorównaj metody: GOAL-PROGRAMMING · ANP · BWM · BWM-BAYESIAN. Pobrano 2026-06-18 z https://scholargate.app/pl/compare