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An Improved Data-Driven Multiple Criteria Decision-Making Procedure for Spatial Modeling of Mineral Prospectivity: Adaption of Prediction–Area Plot and Logistic Functions
Authors:Ghezelbash  Reza  Maghsoudi  Abbas  Carranza  Emmanuel John M
Institution:1.Faculty of Mining and Metallurgical Engineering, Amirkabir University of Technology, 15875-4413, Tehran, Iran
;2.Geological Sciences, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Durban, South Africa
;
Abstract:Natural Resources Research - Assigning realistic weights to targeting criteria in order to synthesize various geo-spatial datasets is one of the most important challenging tasks for mineral...
Keywords:
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