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| GIS-MCDA× | Technique for Order of Preference by Similarity to Ideal Solution× | |
|---|---|---|
| Fachgebiet≠ | Räumliche Analyse | Entscheidungsfindung |
| Familie≠ | Process / pipeline | MCDM |
| Entstehungsjahr≠ | 2006 | 1981 |
| Urheber≠ | Jacek Malczewski (GIS-MCDA synthesis) | Hwang, C. L., Yoon, K. |
| Typ≠ | Spatial multi-criteria suitability/decision analysis | Distance-based (compromise) |
| Wegweisende Quelle≠ | Malczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. DOI ↗ | Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗ |
| Aliasnamen≠ | GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability | — |
| Verwandt≠ | 4 | 8 |
| Zusammenfassung≠ | 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. | TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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