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山东大学学报（理学版） ›› 2017, Vol. 52 ›› Issue (4): 93-99.doi: 10.6040/j.issn.1671-9352.0.2016.338

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P-信息融合与它的P-矩阵推理智能生成

张秀全1,2,李小朝1   

  1. 1. 黄淮学院数学与统计学院, 河南 驻马店 463000;2. 山东大学数学学院, 山东 济南 250100
  • 收稿日期:2016-07-17 出版日期:2017-04-20 发布日期:2017-04-11
  • 作者简介:张秀全(1974— ),男,副教授,硕士研究生,研究方向为信息科学、系统理论与应用. E-mail: zxq3567@163.com
  • 基金资助:
    河南省基础与前沿技术研究项目(142300410449,122300410307);河南省高等学校重点科研项目(16A110035)

P-information fusion and its P-matrix reasoning intelligent generation

ZHANG Xiu-quan1,2, LI Xiao-chao1   

  1. 1. School of Mathematics and statistics, Huanghuai University, Zhumadian 463000, Henan, China;
    2. School of Mathematics, Shandong University, Jinan 250100, Shandong, China
  • Received:2016-07-17 Online:2017-04-20 Published:2017-04-11

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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。

关键词: P-集合, 信息融合, 筛选-发现定理, P-矩阵推理, 智能筛选-发现

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.

Key words: P-sets, P-matrix reasoning, information fusion, screening-discovery theorem, intelligent screening-discovery

中图分类号: 

  • O144
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