Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| DHF-TOPSIS× | Корреляция критериев и стандартное отклонение для объективного взвешивания× | |
|---|---|---|
| Область | Принятие решений | Принятие решений |
| Семейство | MCDM | MCDM |
| Год появления≠ | 2020 | 2010 |
| Автор метода≠ | Wang, R., Li, W., Zhang, T., Han, Q. | Wang, Y. M., Luo, Y. |
| Тип≠ | Dual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set) | Correlation-penalised standard-deviation weighting |
| Основополагающий источник≠ | Wang, R., Li, W., Zhang, T., Han, Q. (2020). New Distance Measures for Dual Hesitant Fuzzy Sets and Their Application to Multiple Attribute Decision Making. Symmetry DOI ↗ | Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗ |
| Другие названия | — | — |
| Связанные | 8 | 8 |
| Сводка≠ | DHF-TOPSIS (Dual Hesitant Fuzzy extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Wang, R., Li, W., Zhang, T., Han, Q. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateНабор данных ↗ |
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