中文摘要：

利用P-增广矩阵推理,给出信息融合智能筛选-发现的理论与应用研究,信息融合智能筛选-发现是在P-增广矩阵推理条件下得到的。P-增广矩阵是利用P-集合的结构、动态特征及改进普通增广矩阵被提出的。论文给出利用P-集合生成P-增广矩阵的方法与P-增广矩阵结构,提出P-增广矩阵推理模型并给出信息融合的智能生成方法和其筛选-发现定理,最后给出这些理论结果的应用。

英文摘要：

Based on P-augmented matrix reasoning, the theory and application research of information fusion intelligent screening-discovery are presented. Information fusion intelligent screening-discovery is obtained under the condition of P-augmented matrix reasoning. P-augmented matrix is obtained by using the structure and dynamic characteristics of P- set and improving common augmented matrix. The method for generating P-augmented matrix by using P-set and the structure of P-augmented matrix are given. The reasoning model of P-augmented matrix and the intelligent generation method of information fusion are presented. The information fusion intelligent screening-discovery theorem and the ap- plication of these theoretical results are given.