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Extensió MHF de TOPSIS (m-Polar Hesitant Fuzzy)×BWM bayesià×
CampPresa de decisionsPresa de decisions
FamíliaMCDMMCDM
Any d'origen20192020
Autor originalAkram, M., Adeel, A., Alcantud, J.C.R.Mohammadi, M., Rezaei, J.
Tipusm-Polar Hesitant outranking/ranking — m-Polar Hesitant Fuzzy Element (mHFE: m-tuple of HFEs, ℏ_m: Z → P([0,1]^m))Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Font seminalAkram, M., Adeel, A., Alcantud, J.C.R. (2019). Multi-Criteria Group Decision-Making Using an m-Polar Hesitant Fuzzy TOPSIS Approach. Symmetry DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Àlies
Relacionats88
ResumMHF-TOPSIS (m-Polar Hesitant Fuzzy extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Akram, M., Adeel, A., Alcantud, J.C.R. in 2019. 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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ScholarGateCompara mètodes: MHF-TOPSIS · BWM-BAYESIAN. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare