中文摘要：

地下的采矿方法选择的一个优化模型根据 unascertained 测量理论被建立。就地质的条件，技术，经济和安全生产而言，影响采矿方法的选择的十个主要因素被考虑，并且采矿方法选择的全面评估索引系统被构造。相应于为实际状况的选择因素的 unascertained 评估索引被解决品质上和份量上。新测量标准被构造。然后，每个评估索引的 unascertained 测量功能被建立。因素的索引重量被熵理论计算，并且可信的度识别标准根据 unascertained 测量理论被建立。采矿方法评估的结果用可信的度标准被获得，因此，最好的地下的采矿方法被决定。而且，这个模特儿在中国的 Sanshandao 在 Xinli 金矿为选择标准采矿方法的全面评估和选择被雇用。结果证明采矿方法的相对优势度能用 unascertained 测量优化模型是计算的，因此最佳的方法能是容易坚定的。同时，建议方法能在采矿方法选择考虑大量不明确的信息，它能为选择最佳的地下的采矿方法提供一个有效方法。

英文摘要：

An optimization model of underground mining method selection was established on the basis of the unascertained measurement theory. Considering the geologic conditions, technology, economy and safety production, ten main factors influencing the selection of mining method were taken into account, and the comprehensive evaluation index system of mining method selection was constructed. The unascertained evaluation indices corresponding to the selected factors for the actual situation were solved both qualitatively and quantitatively. New measurement standards were constructed. Then, the unascertained measurement function of each evaluation index was established. The index weights of the factors were calculated by entropy theory, and credible degree recognition criteria were established according to the unascertained measurement theory. The results of mining method evaluation were obtained using the credible degree criteria, thus the best underground mining method was determined. Furthermore, this model was employed for the comprehensive evaluation and selection of the chosen standard mining methods in Xinli Gold Mine in Sanshandao of China. The results show that the relative superiority degrees of mining methods can be calculated using the unascertained measurement optimization model, so the optimal method can be easily determined. Meanwhile, the proposed method can take into account large amount of uncertain information in mining method selection, which can provide an effective way for selecting the optimal underground mining method.