Fuzzy outranking approach: A knowledge-driven method for mineral prospectivity mapping |
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| Institution: | 1. Institut für Mineralogie, Leibniz Universität Hannover, 30167 Hannover, Germany;2. Department of Geology, University of Liège, 4000 Sart Tilman, Belgium;3. School of Geosciences, University of Witwatersrand, PO Wits 2050, South Africa;1. CSRE, Indian Institute of Technology Bombay, Powai, 400076 Mumbai India;2. Centre for Exploration Targeting, University of Western Australia, Crawley 6009, WA, Australia;3. Department of Earth and Oceans, James Cook University, Townsville, Queensland, Australia;1. School of Earth and Oceans, James Cook University, Townsville 4811, Queensland, Australia;2. International Rice Research Institute, Los Baños 4030, Laguna, Philippines |
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| Abstract: | This paper describes the application of a new multi-criteria decision making (MCDM) technique called fuzzy outranking to map prospectivity for porphyry Cu Mo deposits. Various raster-based evidential layers involving geological, geophysical, and geochemical geo-data sets are integrated for mineral prospectivity mapping (MPM). In a case study, 13 layers of the Now Chun deposit located in the Kerman province of Iran are used to explore the region of interest. The outputs are validated using 21 boreholes drilled in this area. Comparison of the output prospectivity map with concentrations of Cu and Mo in the boreholes indicates that the fuzzy outranking MCDM is a useful tool for MPM. The proposed method shows a high performance for MPM thereby reducing the cost of exploratory drilling in the study area. |
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| Keywords: | Knowledge-driven method Mineral prospectivity mapping Various geo-data sets Fuzzy Outranking Method ASTER Data Porphyry Deposit |
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