Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Оператор симметричного среднего Маклорена× | Взвешенное среднее степенное (среднее по Гёльдеру)× | |
|---|---|---|
| Область | Принятие решений | Принятие решений |
| Семейство | MCDM | MCDM |
| Год появления≠ | 2014 | 1934 |
| Автор метода≠ | Variants developed from Maclaurin's mathematical theory | Hardy, G. H. Littlewood, J. E. Pólya, G. |
| Тип≠ | Symmetric mean aggregation operator for multiple criteria | Power mean family — parametric generalisation of WAM/WGM/WHM |
| Основополагающий источник≠ | Qin, J., Liu, X., & Pedrycz, W. (2014). An extended TOPSIS model for multiple attribute decision making with interval-valued intuitionistic fuzzy information. International Journal of Fuzzy Systems, 16(1), 99-113. link ↗ | Hardy, G. H., Littlewood, J. E., Pólya, G. (1934). Inequalities. Cambridge University Press ISBN: 978-0-521-35880-4 |
| Другие названия≠ | MSM, Maclaurin Mean | — |
| Связанные≠ | 3 | 0 |
| Сводка≠ | The Maclaurin Symmetric Mean (MSM) operator is an aggregation method that combines multiple criteria or attribute values using symmetric mean functions. Unlike simple averaging, MSM captures interactions between criteria and enables flexible sensitivity to criterion magnitudes through a parameter λ. It is particularly useful in fuzzy multi-criteria decision analysis and handles both individual and joint effects of criteria. | POWER-MEAN (Weighted Power Mean (Hölder Mean)) is a aggregation multi-criteria decision-making (MCDM) method introduced by Hardy, G. H. Littlewood, J. E. Pólya, G. in 1934. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateНабор данных ↗ |
|
|