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机译:使用 Dempster Shafer 理论进行机器学习、多标准决策分析和集成的洪水敏感性映射
Department of Geoinformatics-Z_GIS, University of Salzburg, Salzburg 5020, Austria;
Department of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, Iran;
Soil Conservation and Watershed Management Research Department, Kurdistan Agricultural and Natural Resources Research and Education Center, AREEO, Sanandaj 6616936311, Iran;
Flood susceptibility; Dempster Shafer Theory (DST); Random forest (RF); Support vector machine (SVM); Analytical hierarchical process (AHP); Analytical network process (ANP);