方法对比
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| AROMAN（考虑双步归一化的排序顺序方法）× | 基于自适应标准化区间的替代方案排序技术× | 组合折衷解× | |
|---|---|---|---|
| 领域 | 决策 | 决策 | 决策 |
| 方法族 | MCDM | MCDM | MCDM |
| 起源年份≠ | 2022 | 2024 | 2019 |
| 提出者≠ | Zdravković, M., Hamid, M., Radovanović, M. | Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. | Yazdani, M., Zarate, P., Zavadskas, E. K., Turskis, Z. |
| 类型≠ | Two-step normalisation (linear + vector) with weighted power aggregation | Two-level standardization + ideal/anti-ideal utility (β-anchored) | Aggregated exponential comparison (WSM + WPM combination) |
| 开创性文献≠ | Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗ | Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. (2024). A picture fuzzy CIMAS-ARTASI model for website performance analysis in human resource management. Applied Soft Computing DOI ↗ | Yazdani, M., Zarate, P., Zavadskas, E. K., Turskis, Z. (2019). A combined compromise solution (COCOSO) method for multi-criteria decision-making problems. Management Decision DOI ↗ |
| 别名 | — | — | — |
| 相关 | 8 | 8 | 8 |
| 摘要≠ | AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | ARTASI (Alternative Ranking Technique based on Adaptive Standardized Intervals) is a ranking multi-criteria decision-making (MCDM) method introduced by Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | COCOSO (Combined Compromise Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Yazdani, M., Zarate, P., Zavadskas, E. K., Turskis, Z. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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