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Phân tích Quyết định Đa Tiêu Chí dựa trên GIS (GIS-MCDA)×Lập trình nguyên (Integer Programming×
Lĩnh vựcPhân tích không gianTối ưu hóa
HọProcess / pipelineProcess / pipeline
Năm ra đời20061958
Người khởi xướngJacek Malczewski (GIS-MCDA synthesis)Ralph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)
LoạiSpatial multi-criteria suitability/decision analysisMathematical optimisation — exact combinatorial method
Công trình gốcMalczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. DOI ↗Wolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669
Tên gọi khácGIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitabilityIP, MIP, mixed-integer programming, mixed-integer linear programming
Liên quan44
Tóm tắtGIS-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.Integer programming (IP), also called mixed-integer programming (MIP) when only some variables are restricted to whole numbers, is a branch of mathematical optimisation in which some or all decision variables must take integer or binary values. Building on linear programming, it was formalised through Ralph Gomory's cutting-plane method (1958) and the Land-and-Doig branch-and-bound algorithm (1960), and it has since become the standard exact framework for scheduling, assignment, routing, and resource-allocation problems.
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ScholarGateSo sánh phương pháp: GIS-MCDA · Integer Programming. Truy cập ngày 2026-06-17 từ https://scholargate.app/vi/compare