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Cubic-WASPAS×Analytic Hierarchy Process×Bayesian BWM×
FachgebietEntscheidungsfindungEntscheidungsfindungEntscheidungsfindung
FamilieMCDMMCDMMCDM
Entstehungsjahr201219802020
UrheberJun, Y. B. Kim, C. S. Yang, K. O.Saaty, T. L.Mohammadi, M., Rezaei, J.
TypCubic outranking/ranking — Cubic Fuzzy Set (CuFS: interval [a,b] for internal membership, scalar λ for external)Pairwise comparison (eigenvalue)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Wegweisende QuelleJun, Y. B., Kim, C. S., Yang, K. O. (2012). Cubic sets. Annals of Fuzzy Mathematics and Informatics link ↗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 ↗
Aliasnamen
Verwandt888
ZusammenfassungCUBIC-WASPAS (Cubic-WASPAS — Cubic extension of WASPAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Jun, Y. B. Kim, C. S. Yang, K. O. in 2012. 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.
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ScholarGateMethoden vergleichen: CUBIC-WASPAS · AHP · BWM-BAYESIAN. Abgerufen am 2026-06-19 von https://scholargate.app/de/compare