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ZF-CRADIS×Méthodologie des Poids Additifs par Logarithme Flou Z-Nombre×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20222022
Auteur d'originePuška, A. Božanić, D. Nedeljković, M. Janošević, M.Puška, A. Božanić, D. Nedeljković, M. Janošević, M.
TypeCompromise ranking via distance to ideal/anti-ideal under Z-number uncertaintyLogarithmic anti-ideal weighting under Z-number uncertainty with group aggregation
Source fondatricePuška, A., Božanić, D., Nedeljković, M., Janošević, M. (2022). Green Supplier Selection in an Uncertain Environment in Agriculture Using a Hybrid MCDM Model: Z-Numbers–Fuzzy LMAW–Fuzzy CRADIS Model. Axioms DOI ↗Puška, A., Božanić, D., Nedeljković, M., Janošević, M. (2022). Green Supplier Selection in an Uncertain Environment in Agriculture Using a Hybrid MCDM Model: Z-Numbers–Fuzzy LMAW–Fuzzy CRADIS Model. Axioms DOI ↗
Alias
Apparentées88
RésuméZF-CRADIS (Z-Number Fuzzy Compromise Ranking from Distance to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Puška, A. Božanić, D. Nedeljković, M. Janošević, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.ZF-LMAW (Z-Number Fuzzy Logarithm Methodology of Additive Weights) is a weighting multi-criteria decision-making (MCDM) method introduced by Puška, A. Božanić, D. Nedeljković, M. Janošević, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateComparer des méthodes: ZF-CRADIS · ZF-LMAW. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare