Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Многокритериальный анализ решений на основе ГИС (GIS-MCDA)× | Линейное программирование× | |
|---|---|---|
| Область≠ | Пространственный анализ | Оптимизация |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2006 | 1947 |
| Автор метода≠ | Jacek Malczewski (GIS-MCDA synthesis) | George B. Dantzig |
| Тип≠ | Spatial multi-criteria suitability/decision analysis | Mathematical programming / continuous optimization |
| Основополагающий источник≠ | Malczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. DOI ↗ | Dantzig, G.B. (1963). Linear Programming and Extensions. Princeton University Press. ISBN: 9780691059136 |
| Другие названия≠ | GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability | LP, linear optimization, Doğrusal Programlama (LP) |
| Связанные | 4 | 4 |
| Сводка≠ | GIS-MCDA combines the map layers of a geographic information system with multi-criteria decision analysis to produce suitability or priority maps — ranking locations by how well they satisfy several weighted criteria at once. It is the standard framework for spatial decisions such as siting hospitals, solar farms, landfills, or evacuation areas, integrating methods like AHP, TOPSIS, and weighted overlay with spatial data. | Linear programming (LP), pioneered by George B. Dantzig in 1947, is a mathematical method for finding the best value of a linear objective function — such as minimum cost or maximum profit — subject to a set of linear inequality and equality constraints. It is the foundational technique in operations research and underlies production planning, resource allocation, logistics, diet problems, and countless other decision-making scenarios across engineering, economics, and the natural sciences. |
| ScholarGateНабор данных ↗ |
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