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Extension linguistique probabiliste de MULTIMOORA×Méthode de pondération par entropie de Shannon×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20181948
Auteur d'origineWu, X. Liao, H. Xu, Z. S. Hafezalkotob, A. Herrera, F.Shannon, C. E.
TypeProbabilistic Linguistic multi-objective ranking — PLTS: {L_k|p_k} with expectation function + Borda aggregationInformation-theoretic objective weighting (Shannon entropy)
Source fondatriceWu, X., Liao, H., Xu, Z. S., Hafezalkotob, A., Herrera, F. (2018). Probabilistic Linguistic MULTIMOORA: A Multicriteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule. IEEE Transactions on Fuzzy Systems DOI ↗Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗
Alias
Apparentées88
RésuméPL-MULTIMOORA (Probabilistic Linguistic extension of MULTIMOORA) is a ranking multi-criteria decision-making (MCDM) method introduced by Wu, X. Liao, H. Xu, Z. S. Hafezalkotob, A. Herrera, F. in 2018. 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.
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ScholarGateComparer des méthodes: PL-MULTIMOORA · ENTROPY. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare