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m-Polar Hesitant Fuzzy TOPSIS (Akram, Adeel & Alcantud 2019, Symmetry 11(6):795)×Méthode de pondération par entropie de Shannon×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20191948
Auteur d'origineAkram, M., Adeel, A., Alcantud, J. C. R.Shannon, C. E.
TypeDistance-based ranking — m-polar hesitant fuzzy TOPSIS — pole-wise max/min ideals on a weighted mHF decision matrix (Eqs. 1–2), mHF Euclidean distance (Eqs. 3–4), closeness coefficient E_j' (Eq. 5)Information-theoretic objective weighting (Shannon entropy)
Source fondatriceAkram, M., Adeel, A., Alcantud, J. C. R. (2019). Multi-Criteria Group Decision-Making Using an m-Polar Hesitant Fuzzy TOPSIS Approach. Symmetry (MDPI) DOI ↗Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗
Alias
Apparentées38
RésuméMPF-HF-TOPSIS (m-Polar Hesitant Fuzzy TOPSIS (Akram, Adeel & Alcantud 2019, Symmetry 11(6):795) — multi-criteria group decision-making by extending TOPSIS to the m-polar hesitant fuzzy (mHF) set framework; pole-wise mHPIS/mHNIS extraction, mHF Euclidean distance and closeness coefficient ranking) 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.ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateJeu de données
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  1. v1
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  3. PUBLISHED

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ScholarGateComparer des méthodes: MPF-HF-TOPSIS · ENTROPY. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare