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Extension linguistique probabiliste de EDAS×Corrélation des critères et écart-type pour la pondération objective×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20162010
Auteur d'originePang, Q. Wang, H. Xu, Z.Wang, Y. M., Luo, Y.
TypeProbabilistic Linguistic outranking/ranking — Probabilistic Linguistic Term Set (PLTS: {L_k|p_k})Correlation-penalised standard-deviation weighting
Source fondatricePang, Q., Wang, H., Xu, Z. (2016). Probabilistic linguistic term sets in multi-attribute group decision making. Information Sciences DOI ↗Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗
Alias
Apparentées88
RésuméPL-EDAS (Probabilistic Linguistic extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Pang, Q. Wang, H. Xu, Z. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. 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: PL-EDAS · CCSD. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare