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Extension hésitante probabiliste de TOPSIS×BWM bayésien×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine2020
Auteur d'originePENDING_LITERATURE_SEARCHMohammadi, M., Rezaei, J.
TypeProbabilistic Hesitant outranking/ranking — Probabilistic Hesitant Fuzzy Element (PHFE: {γ|p} pairs)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Source fondatricePENDING_LITERATURE_SEARCH (). PENDING — PHF-TOPSIS specific seminal not confirmed. Zhang et al. 2017 (doi:10.1016/j.inffus.2017.02.001) is the foundational PHFS paper, not a PHF-TOPSIS paper. L.formulation.en cites 'Zhu & Xu 2018' as PHF-TOPSIS anchor — unverified. Candidate from search: Naeem et al. 2021 'Extended TOPSIS method based on the entropy measure and probabilistic hesitant fuzzy information' (JIFS, doi:10.3233/JIFS-202700) — not confirmed as the canonical seminal.. link ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Alias
Apparentées88
RésuméPHF-TOPSIS (Probabilistic Hesitant extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by PENDING_LITERATURE_SEARCH. 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.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: PHF-TOPSIS · BWM-BAYESIAN. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare