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OWA×Bayesian BWM×
분야의사결정의사결정
계열MCDMMCDM
기원 연도1988; GIS extension 19972020
창시자Yager, R. R.Mohammadi, M., Rezaei, J.
유형Parameterised additive aggregation with reordered criterion weights (AND ↔ WLC ↔ OR continuum)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
원전Yager, R. R. (1988). On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Transactions on Systems, Man, and Cybernetics DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
별칭
관련88
요약OWA (Ordered Weighted Averaging) is a ranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 1988; GIS extension 1997. 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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