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Z-početné fuzzy kompromisné radenie na základe vzdialenosti k ideálnemu riešeniu×Metóda založená na efektoch odstránenia kritérií×
OdborRozhodovanieRozhodovanie
RodinaMCDMMCDM
Rok vzniku20222021
TvorcaPuška, A. Božanić, D. Nedeljković, M. Janošević, M.Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z.
TypCompromise ranking via distance to ideal/anti-ideal under Z-number uncertaintyRemoval-effect objective weighting (logarithmic utility)
Pôvodný zdrojPuška, 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 ↗Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Informatica DOI ↗
Ďalšie názvy
Príbuzné88
ZhrnutieZF-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.MEREC (MEthod based on the Removal Effects of Criteria) is a weight objective multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGatePorovnať metódy: ZF-CRADIS · MEREC. Získané 2026-06-17 z https://scholargate.app/sk/compare