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Metodologia de Logaritmo Fuzzy de Número Z de Pesos Aditivos×ZF-CRADIS×
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.
TipoLogarithmic anti-ideal weighting under Z-number uncertainty with group aggregationCompromise ranking via distance to ideal/anti-ideal under Z-number uncertainty
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-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.ZF-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.
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ScholarGateComparar métodos: ZF-LMAW · ZF-CRADIS. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare