Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Методология логарифмических аддитивных весов× | Сравнение по площади границы приближения для множества атрибутов× | |
|---|---|---|
| Область | Принятие решений | Принятие решений |
| Семейство | MCDM | MCDM |
| Год появления≠ | 2021 | 2015 |
| Автор метода≠ | Pamučar, D., Žižović, M., Biswas, S., Božanić, D. | Pamučar, D., Ćirović, G. |
| Тип≠ | Logarithm-based additive weighting | Border approximation area (distance from BAA) |
| Основополагающий источник≠ | Pamučar, D., Žižović, M., Biswas, S., Božanić, D. (2021). A new logarithm methodology of additive weights (LMAW) for multi-criteria decision-making: Application in logistics. Facta Universitatis, Series: Mechanical Engineering DOI ↗ | Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications DOI ↗ |
| Другие названия | — | — |
| Связанные | 8 | 8 |
| Сводка≠ | LMAW (Logarithm Methodology of Additive Weights) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Žižović, M., Biswas, S., Božanić, D. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | MABAC (Multi-Attributive Border Approximation area Comparison) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Ćirović, G. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateНабор данных ↗ |
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