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Nafasi ya Maelewano ya Ukungu ya Nambari-Z Kutoka Umbali Hadi Suluhisho Bora×Njia ya Z-Nambari Bora-Mbaya×
NyanjaUfanyaji MaamuziUfanyaji Maamuzi
FamiliaMCDMMCDM
Mwaka wa asili20222018
MwanzilishiPuška, A. Božanić, D. Nedeljković, M. Janošević, M.Aboutorab, Saberi, Asadabadi, Hussain, Chang (UTS Sydney, Australia)
AinaCompromise ranking via distance to ideal/anti-ideal under Z-number uncertaintyPairwise comparison weighting under Z-number uncertainty
Chanzo asiliaPuška, 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 ↗
Majina mbadala
Zinazohusiana88
MuhtasariZF-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.
ScholarGateSeti ya data
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  1. v1
  2. 1 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: ZF-CRADIS · Z-BWM. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare