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Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

ZF-CRADIS×Metodologia de Logaritmo Fuzzy de Número Z de Pesos Aditivos×
ÁreaTomada de decisãoTomada de decisão
FamíliaMCDMMCDM
Ano de origem20222022
Autor originalPuška, A. Božanić, D. Nedeljković, M. Janošević, M.Puška, A. Božanić, D. Nedeljković, M. Janošević, M.
TipoCompromise ranking via distance to ideal/anti-ideal under Z-number uncertaintyLogarithmic anti-ideal weighting under Z-number uncertainty with group aggregation
Fonte seminalPuška, 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 ↗
Outros nomes
Relacionados88
ResumoZF-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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ScholarGateComparar métodos: ZF-CRADIS · ZF-LMAW. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare