方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 中智扩展的TOPSIS方法× | 标准差法 (Criterion Impact LOSs objective weighting method)× | |
|---|---|---|
| 领域 | 决策 | 决策 |
| 方法族 | MCDM | MCDM |
| 起源年份 | 2016 | 2016 |
| 提出者≠ | Biswas, P., Pramanik, S., Giri, B. C. | Zavadskas, E. K., Podvezko, V. |
| 类型≠ | Neutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3) | Relative criterion-loss matrix weighting (Mirkin theorem based) |
| 开创性文献≠ | Biswas, P., Pramanik, S., Giri, B. C. (2016). TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment. Neural Computing and Applications DOI ↗ | Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗ |
| 别名 | — | — |
| 相关 | 8 | 8 |
| 摘要≠ | N-TOPSIS (Neutrosophic extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Biswas, P., Pramanik, S., Giri, B. C. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CILOS (Criterion Impact LOSs objective weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Podvezko, V. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGate数据集 ↗ |
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