Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Ранжирование по методу CRADIS на основе сферических нечетких Z-чисел× | Ранжирование MARCOS на основе сферических нечетких Z-чисел× | |
|---|---|---|
| Область | Принятие решений | Принятие решений |
| Семейство | MCDM | MCDM |
| Год появления | 2024 | 2024 |
| Автор метода | Niu, J. | Niu, J. |
| Тип≠ | Compromise ranking via dual distance to global ideal and anti-ideal under spherical Z-number uncertainty | Compromise ranking via extended-matrix utility degrees relative to anti-ideal and ideal anchors under spherical Z-number uncertainty |
| Основополагающий источник | Niu, J. (2024). Spherical Fuzzy Z-Numbers-based CRITIC CRADIAS and MARCOS Approaches for Evaluating English Teacher Performance. International Journal of Advanced Computer Science and Applications (IJACSA) DOI ↗ | Niu, J. (2024). Spherical Fuzzy Z-Numbers-based CRITIC CRADIAS and MARCOS Approaches for Evaluating English Teacher Performance. International Journal of Advanced Computer Science and Applications (IJACSA) DOI ↗ |
| Другие названия | — | — |
| Связанные | 1 | 1 |
| Сводка≠ | SFZN-CRADIS (Spherical Fuzzy Z-Number CRADIS Ranking) is a distance multi-criteria decision-making (MCDM) method introduced by Niu, J. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | SFZN-MARCOS (Spherical Fuzzy Z-Number MARCOS Ranking) is a distance multi-criteria decision-making (MCDM) method introduced by Niu, J. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateНабор данных ↗ |
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