Abstract：The fussy logic space decision model does not use binary maps to divide the study area into the area advantageous to mineralization and the area disadvantageous to mineralization but uses continuously changing fuzzy membership values based on the regularity of geological data, thus avoiding the loss of useful geological information effectively. In this paper the geological, geochemical and geophysical data are analyzed and processed using the Arc-SDM extension based on the GIS platform and the close relationship between ore deposition and evidence themes is analyzed using the method of weights of evidence. On that basis, different fuzzy membership values are given to original geological variables using the tabulation method. The results of fuzzy logic prediction show that 85% of the known mineral deposits (occurrences) appear within the target limits that only make up 13.2% of the study area, which are highly coincident with the known mineral deposits (occurrences). The prediction results are ideal and may be used to guide further mineral prospecting.