Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| DHF-TOPSIS× | Корелация на критериите и стандартно отклонение за обективно претегляне× | |
|---|---|---|
| Област | Вземане на решения | Вземане на решения |
| Семейство | MCDM | MCDM |
| Година на възникване≠ | 2020 | 2010 |
| Създател≠ | 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 |
| Основополагащ източник≠ | 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 ↗ |
| Други названия | — | — |
| Свързани | 8 | 8 |
| Резюме≠ | 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 от данни ↗ |
|
|