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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。
By using P-augmented matrix reasoning, the theory and application of information fusion intelligent screening-discovery are presented. The information fusion intelligent screening-discovery is obtained under the conditions of P-augmented matrix inference. The P-augmentation matrix is proposed by using the structure of P-sets, the dynamic features and the improvement of generalized augmented matrices. In this paper, a method of generating P-augment matrices using P-sets and P-augmented matrices is given. The P-augmented matrix inference model is proposed and an intelligent generation method of information fusion and its screening-discovery theorem are given. Finally, The application of these theoretical results.