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Z-skaitļu fuzzy kompromisa rangs pēc attāluma līdz ideālajai risinājumam×Metode labāko un sliktāko vērtību Z-skaitļiem×
NozareLēmumu pieņemšanaLēmumu pieņemšana
SaimeMCDMMCDM
Izcelsmes gads20222018
AutorsPuška, A. Božanić, D. Nedeljković, M. Janošević, M.Aboutorab, Saberi, Asadabadi, Hussain, Chang (UTS Sydney, Australia)
TipsCompromise ranking via distance to ideal/anti-ideal under Z-number uncertaintyPairwise comparison weighting under Z-number uncertainty
PirmavotsPuška, 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 ↗Aboutorab, 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 ↗
Citi nosaukumi
Saistītās88
KopsavilkumsZF-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.Z-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.
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ScholarGateSalīdzināt metodes: ZF-CRADIS · Z-BWM. Izgūts 2026-06-18 no https://scholargate.app/lv/compare