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Méthode Z-Number Best-Worst×Technique pour le classement par similarité à la solution idéale×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20181981
Auteur d'origineAboutorab, Saberi, Asadabadi, Hussain, Chang (UTS Sydney, Australia)Hwang, C. L., Yoon, K.
TypePairwise comparison weighting under Z-number uncertaintyDistance-based (compromise)
Source fondatriceAboutorab, H., Saberi, M., Asadabadi, M.R., Hussain, O., Chang, E. (2018). ZBWM: The Z-number extension of Best Worst Method and its application for supplier development. Expert Systems with Applications DOI ↗Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗
Alias
Apparentées88
RésuméZ-BWM (Z-Number Best-Worst Method) is a weighting multi-criteria decision-making (MCDM) method introduced by Aboutorab, Saberi, Asadabadi, Hussain, Chang (UTS Sydney, Australia) in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateComparer des méthodes: Z-BWM · TOPSIS. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare