方法对比
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| 距离理想解的Z数模糊折衷排序法× | Z数最优最差法× | |
|---|---|---|
| 领域 | 决策 | 决策 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 2022 | 2018 |
| 提出者≠ | Puška, A. Božanić, D. Nedeljković, M. Janošević, M. | Aboutorab, Saberi, Asadabadi, Hussain, Chang (UTS Sydney, Australia) |
| 类型≠ | Compromise ranking via distance to ideal/anti-ideal under Z-number uncertainty | Pairwise comparison weighting under Z-number uncertainty |
| 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 ↗ | 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 ↗ |
| 别名 | — | — |
| 相关 | 8 | 8 |
| 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. | 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. |
| ScholarGate数据集 ↗ |
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