%0 Journal Article
%T P-信息融合与它的P-矩阵推理智能生成<br>P-information fusion and its P-matrix reasoning intelligent generation
%A 张秀全
%A 李小朝&lt
%A br&gt
%A ZHANG Xiu-quan
%A LI Xiao-chao
%J 山东大学学报（理学版）
%D 2017
%R 10.6040/j.issn.1671-9352.0.2016.338
%X 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。<br>Abstract: 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 application of these theoretical results are given
%K P-集合
%K 信息融合
%K 筛选-发现定理
%K P-矩阵推理
%K 智能筛选-发现
%K &lt
%K br&gt
%K P-sets
%K P-matrix reasoning
%K information fusion
%K screening-discovery theorem
%K intelligent screening-discovery
%U http://lxbwk.njournal.sdu.edu.cn/CN/10.6040/j.issn.1671-9352.0.2016.338