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Nafasi ya Maelewano ya Ukungu ya Nambari-Z Kutoka Umbali Hadi Suluhisho Bora×Njia kulingana na Athari za Kuondoa Vigezo×
NyanjaUfanyaji MaamuziUfanyaji Maamuzi
FamiliaMCDMMCDM
Mwaka wa asili20222021
MwanzilishiPuška, A. Božanić, D. Nedeljković, M. Janošević, M.Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z.
AinaCompromise ranking via distance to ideal/anti-ideal under Z-number uncertaintyRemoval-effect objective weighting (logarithmic utility)
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 ↗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 ↗
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.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.
ScholarGateSeti ya data
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  1. v1
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  3. PUBLISHED

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ScholarGateLinganisha mbinu: ZF-CRADIS · MEREC. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare