Applying a Fuzzy Inference System for developing Mineralisation factor maps: the Nuchon Copper Prospect: a case Study

A fuzzy predictive model is compatible with the multiclass and continuous nature of geodata and can properly handle inherent informational fuzziness in most geodata. Although the fuzzy based approaches are been used by different researchers and varied deposits, the structure and pattern of these method were almost similar. In this study, we produce a mineral potential map for the porphyry copper mineral deposit of Nochoun, south east of Iran. In order to improve the conventional methods, we used a fuzzy inference system (FIS) for preparing geophysical and geochemical factor maps. These factor maps are integrated by an appropriate inference networks and mineral potential map was produced. Results of the prepared mineral potential map are in a good accordance with drilling data (80.7 % in 5 class and 87.1 % in 3 class classification). Also, using FIS in preparing factor maps, has improved the compatibility of mineral potential map, (almost 10% in 3 classes and 7 % in 5 classes classification).