A Comparative Analysis of Weights of Evidence, Evidential Belief Functions, and Fuzzy Logic for Mineral Potential Mapping Using Incomplete Data at the Scale of Investigation

摘要: Large amounts of digital data must be analyzed and integrated to generate mineral potential maps, which can used for exploration targeting. The quality the maps is dependent on as inputs, with higher inputs producing outputs. In exploration, particularly in regions little no history, datasets are often incomplete at scale investigation missing due mapping or unavailability over certain areas. It not always clear that incomplete, this study examines how results may differ context. Different methods provide different ways dealing analyzing integrating data. This weights evidence (WofE), evidential belief function fuzzy logic using from Carajas province, Brazil target orogenic gold mineralization. Results demonstrate WofE best one able predict location known mineralization within area when either complete unacknowledged used. suggested use Bayes’ rule, account “missing data.” indicate effectiveness