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تحليل القرار متعدد المعايير المستند إلى نظم المعلومات الجغرافية (GIS-MCDA)×البرمجة الخطية×
المجالالتحليل المكانيالتحسين
العائلةProcess / pipelineProcess / pipeline
سنة النشأة20061947
صاحب الطريقةJacek Malczewski (GIS-MCDA synthesis)George B. Dantzig
النوعSpatial multi-criteria suitability/decision analysisMathematical programming / continuous optimization
المصدر التأسيسيMalczewski, 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
الأسماء البديلةGIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitabilityLP, linear optimization, Doğrusal Programlama (LP)
ذات صلة44
الملخصGIS-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.
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ScholarGateقارن الطرق: GIS-MCDA · Linear Programming. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare