个旧超大型锡铜多金属矿床是我国和世界上重要的锡产地，近年来面临严重的资源危机。通过分析个旧锡矿高松矿田的地质、地球化学、地球物理等信息特征，用统计排序法和地质统计学方法解决了断裂、褶皱、地层、花岗岩等定性信息的量化、分级，用分维确定了考虑线性和面状因素的最佳信息单元大小，利用以Shannon信息论基本原理为基础的分层次自相似信息量加和法在信息类型内部和类型之间进行了信息的有机综合，得到了三级18个预测区，经云南锡业公司工程和已知矿区验证，取得了很好的效果。

Gejiu superlarge Sn-poly metal deposit is the important tin producing area in our country and world. But it has been faced with severe resource crisis in these years. A lot of data of geology, geochemistry and geophysics has been obtained through plenty of work.  If these data can be used sufficiently, much of exploration fare could be saved. In the Gaosong Field, exploration work is not so sufficient as others while a lot of data, from geology, geochemistry, geophysics, etc, has been obtained. The synthesis information analysis and prediction method to predict mineral resource with the example of Gaosong field are used. In this method, quantified analysis is based on qualitative analysis. The two analysis methods can be combined .Once the qualitative laws are determined, the quantified analysis will be automatic and impersonal. First, information (such as geology, geochemistry, geophysics, etc) characters are gathered in the forms of quality from observation and research. Second, qualitative information (such as faults, folds, sedimentary, granite, and so on) is quantified and graded with the methods of statistics and geostatistics according to the qualitative characters. Third, the optimal unit is found with the method of fractal dimension method on the consideration of linear and facial factors. At last, information in the same type is synthesized with the grade self-similar adding information method based on Shannon information theory. Information in different types is also synthesized with the same grade self-similar adding information method．Some 18 prediction areas classified in 3 grades are found. These prediction areas sufficiently reflect the comprehensive metallogenetic laws of geology, geochemistry and geophysics. With the validation in the projects and known mines by Yunnan Tin Corporation, the effects are creditable.