Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Duální rozšíření TOPSIS o váhavé fuzzy množiny× | Objektivní vážení metodou CCSD (Criteria Correlation and Standard Deviation)× | |
|---|---|---|
| Obor | Rozhodování | Rozhodování |
| Rodina | MCDM | MCDM |
| Rok vzniku≠ | 2020 | 2010 |
| Tvůrce≠ | Wang, R., Li, W., Zhang, T., Han, Q. | Wang, Y. M., Luo, Y. |
| Typ≠ | Dual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set) | Correlation-penalised standard-deviation weighting |
| Původní zdroj≠ | 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 ↗ |
| Další názvy | — | — |
| Příbuzné | 8 | 8 |
| Shrnutí≠ | 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. |
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