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L'analyse multicritère (AMC) basée sur SIG (AMC-SIG)×Technique pour le classement par similarité à la solution idéale×
DomaineAnalyse spatialePrise de décision
FamilleProcess / pipelineMCDM
Année d'origine20061981
Auteur d'origineJacek Malczewski (GIS-MCDA synthesis)Hwang, C. L., Yoon, K.
TypeSpatial multi-criteria suitability/decision analysisDistance-based (compromise)
Source fondatriceMalczewski, 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 ↗
AliasGIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability
Apparentées48
RésuméGIS-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.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: GIS-MCDA · TOPSIS. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare