Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Fuzzy Delphi× | Альтернативный метод ранжирования с учетом двуступенчатой нормализации× | |
|---|---|---|
| Область | Принятие решений | Принятие решений |
| Семейство | MCDM | MCDM |
| Год появления≠ | 1988 | 2022 |
| Автор метода≠ | Kaufmann, A., Gupta, M. M. | Zdravković, M., Hamid, M., Radovanović, M. |
| Тип≠ | Fuzzy expert elicitation — TFN Delphi with centroid defuzzification | Two-step normalisation (linear + vector) with weighted power aggregation |
| Основополагающий источник≠ | Kaufmann, A., Gupta, M. M. (1988). Fuzzy Mathematical Models in Engineering and Management Science. Elsevier Science Publishers, Amsterdam link ↗ | Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗ |
| Другие названия | — | — |
| Связанные | 8 | 8 |
| Сводка≠ | FUZZY-DELPHI (Fuzzy Delphi — Expert consensus with triangular fuzzy opinions and defuzzification) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Kaufmann, A., Gupta, M. M. in 1988. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateНабор данных ↗ |
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