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距离理想解的Z数模糊折衷排序法×准则重要性通过准则间相关性 (CRITIC)×
领域决策决策
方法族MCDMMCDM
起源年份20221995
提出者Puška, A. Božanić, D. Nedeljković, M. Janošević, M.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
类型Compromise ranking via distance to ideal/anti-ideal under Z-number uncertaintyStatistical contrast intensity + correlation-based objective weighting
开创性文献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 ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗
别名
相关88
摘要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.CRITIC (CRiteria Importance Through Intercriteria Correlation) is a weight objective multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Mavrotas, G., Papayannakis, L. in 1995. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGate方法对比: ZF-CRADIS · CRITIC. 于 2026-06-17 检索自 https://scholargate.app/zh/compare