| In order to ensure the sustainable development of the social economy of our country, it becomes presently an outstanding problem to explore replaceable resources for the crisis mines. On one hand, the crisis mines have the following characteristics:high intensity in mine exploration and development, sufficient accumulation in the firsthand information of geological exploration, development towards the deep and marginal three-dimensional space for evaluation and ore prospecting. On the other hand, many important and basic problems in mineralization and predictive research often involve non-linear problems. For instance, the simple linear relation can not be revealed between the deposits and control factors of mineralization. Therefore, it became an urgent affair to establish the new method and theory for evaluating mineral resources in new prospecting innovation systems that are suitable for the crisis mine prospecting in the deep, marginal and peripheral locations.Multi-attribute decision-making problems exist in many fields, such as society, economy, management, projects, etc. Because most phenomena in the real world have fuzziness more or less, the fuzzy optimization model of multi-attribute decision-making characteristics for dealing with the nonlinear phenomenon of fuzzy type turns to be one of the most important methods in the comprehensive evaluation.Meta-analysis is a statistical method that systematically combines, analyzes and comprehensively evaluates several relevant trials. The soul of the Meta-analysis is that similar studies with specific conditions and the same themes are statistical after synthesis. The Meta-analysis has experienced three developmental stages. It has been widely used in Education, Psychology, Ecology and Medicine, but is new in geology today. In this paper, the Meta analysis is first used to investigate the importance of the various prospecting information.The thesis is supported by the following project:The national science and technology supporting project of" eleven five "-"The study of technology demonstration on the location prediction of large-scale crisis copper mines in Tongling areas". Taking Tongling copper mine and Tianmashan-Jingkouling-Tongguanshan regions as the research area, the study of concealed deposit location prediction is carried out by means of the Fuzzy optimize model of multi-attribute decision-making characteristics and the Meta-analysis model. The main conclusions are listed as follows:(1) The Meta-analysis is applied to the comparison of availability of several explorations. The project teams conduct the work by using the methods of the EH-4, CSAMT, TEM in Qianshannan survey area of Tongshan copper mine. In order to obtain six two-dimensional depth profiles that have abundant contents, the thesis carries out the gridding work of 10×10m,20x20m,40x40m, and gets the result of 18 gridding profiles for making the quantitative analysis of the data. In addition, we carried out an statistical analysis to all the data by using the method of the Meta-analysis. The results show that the EH-4 and CSAMT methods are equivalent on the basis of effectiveness, and the TEM is less effective than above two.(2) The Meta-analysis model is further developed on the basis of fuzzy mathematics. In the process of investigating the availability of several explorations by using the Meta-analysis, we find that the Meta-analysis can produce the results (such as" values") of statistical significance, so that it answers the question of "is A better or worse than B in terms of effectiveness". In this situation, the conclusion is qualitative. In spite of that, the fuzzy mathematics uses the method of judge synthetically and it is multi-level and fuzzy. It systematically integrates the results of several individual events obtained from the statistics method, meaning that quantitative conclusions can be drawn from the use of fuzzy mathematics. Thus, the thesis applies the fuzzy mathematics to the Meta-analysis in chapter 6, constructs the Meta-analysis model based on fuzzy mathematics, and carries out the availability research of the CSAMT and TEM methods by using the model. The results show that the CSAMT is 17.7% higher in availability than the TEM when they are used in the Qianshannan survey area. (3) Quantitative analysis and comparison have been conducted, for the first time, to evaluate the metallogenic index using the Meta-analysis method. The difficulty and the sticking point are to construct a fuzzy complementary judge matrix that is suitable for the actual conditions. This is because that the matrix is influenced too much by human factors when people compare the judging indexes with each other. Therefore, this thesis uses the Meta-analysis method to carry out the quantitative analysis and to investigate the importance of different index. As a result, the anticipated goal has been achieved. This indicates that the weightiness sequencing can be obtained by using the Meta-analysis in mineralization information.(4) This study applies the Fuzzy optimize model of multi-attribute decision-making characteristics to the multivariate metallogenic information meta-synthesis. The metallogenic mechanism and metallogenic evolution model have the characteristics of complexity, uniqueness and non-linearity. Furthermore, the study introduces the FAHP (fuzzy analytic hierarchy process) to make use of the judging indexes quota, and to construct the mathematical model of the FAHP. The study also applies the multivariate metallogenic information synthetic prediction and evaluation to the Tianmashan-Jingkouling-Tongguanshan regions, and integrates the geological analysis, delineates 12 target areas which have highly advantage degree in metallogenic aspects. Compared with the other relevant materials and the field verification, the results show that using this kind of model to delineate target areas has some remarkable advantages in prospecting.(5) The concealed mineral location prediction software is developed on the basis of the Meta-analysis. Whether it can be used to identify the degree of coincidence between the practical lines (surfaces) and the predicted lines (surfaces) is the key point that we introduce the Meta-analysis method into metallogenic prognosis study area. This progress is the foundation of constructing a digital mineral deposit model. We design algorithms to identify the degree of coincidence, and develop the corresponding software. As a result, we recommend a kind of Meta-analysis software, RevMan, in detail so that it can be wildly used. The software described above has been used to quantitatively conduct the study of concealed mineral location prediction on the basis of the Meta-analysis.
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