信息智能融合与它的P-增广矩阵推理生成

doi:10.6040/j.issn.1671-9352.0.2018.579

摘要/Abstract

摘要：

P-集合是一个具有动态特征的数学模型,它是把动态特性引入到有限普通元素集合X内,改进有限普通元素集合X被提出的。P-增广矩阵是改进普通增广矩阵,利用P-集合得到的。利用P-集合的动态特性与P-增广矩阵结构,本文给出P-增广矩阵推理与推理结构、信息智能融合以及信息融合与与P-增广矩阵的关系;给出信息智能融合的分离与信息智能融合的分离具有的属性智能特征;给出这些理论研究的应用。

关键词: P-集合, P-增广矩阵, 信息智能融合, 智能融合的分离, 信息发现, 应用

Abstract:

Packet sets is a dynamic mathematics model, which introduces dynamic characteristics into common set X and improve it. Packet augmented matrix is obtained by common augmented matrix using packet sets. Based on the dynamic characteristics of Packet sets and structure of packet augmented matrix, the paper provides the reasoning generation of its P-augmented matrix, intelligent fusion of information and the relationship between intelligent fusion of information and packet augmented matrix. Furthermore, the separation of information intelligent fusion and its attribute intelligent characteristics are given. At the end, an application to the above theory results is shown.

Key words: packet sets, packet augmented matrix, intelligent fusion of information, separation of intelligent fusion, information recovery, application

中图分类号:

O144

徐凤生,于秀清,张立华. 信息智能融合与它的P-增广矩阵推理生成[J]. 《山东大学学报(理学版)》, 2019, 54(9): 22-28.

Feng-sheng XU,Xiu-qing YU,Li-hua ZHANG. Intelligent fusion of information and reasoning generation of its P-augmented matrix[J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2019, 54(9): 22-28.

参考文献 24

1	史开泉. P-集合[J]. 山东大学学报(理学版), 2008, 43 (11): 77- 84.
	SHI Kaiquan . P-sets[J]. Journal of Shandong University (National Science), 2008, 43 (11): 77- 84.
2	SHI Kaiquan . P-sets and its applications[J]. Advances in Systems Science and Applications, 2009, 9 (2): 209- 219.
3	史开泉. P-增广矩阵与信息的智能动态发现-辨识[J]. 山东大学学报(理学版), 2015, 50 (10): 1- 12. doi: 10.6040/j.issn.1671-9352.7.2015.001
	SHI Kaiquan . P-augmented matrix and dynamic intelligent discovery-identification of information[J]. Journal of Shandong University (National Science), 2015, 50 (10): 1- 12. doi: 10.6040/j.issn.1671-9352.7.2015.001
4	史开泉. P-推理与信息的P-推理发现-辨识[J]. 计算机科学, 2011, 38 (7): 1- 9. doi: 10.3969/j.issn.1002-137X.2011.07.001
	SHI Kaiquan . P-reasoning and information P-reasoning discovery-identification[J]. Computer Science, 2011, 38 (7): 1- 9. doi: 10.3969/j.issn.1002-137X.2011.07.001
5	史开泉. P-集合,逆P-集合与信息智能融合-过滤辨识[J]. 计算机科学, 2012, 39 (4): 1- 13. doi: 10.3969/j.issn.1002-137X.2012.04.001
	SHI Kaiquan . P-sets, Inverse P-sets and the intelligent fusion-filter identification of information[J]. Computer Science, 2012, 39 (4): 1- 13. doi: 10.3969/j.issn.1002-137X.2012.04.001
6	FAN Chengxian , LIN Hongkang . P-sets and the intelligent fusion-filter identification of information[J]. International Journal of Convergence Information Technology, 2012, 7 (1): 337- 345. doi: 10.4156/jcit.vol7.issue1.41
7	LIN Hongkang , FAN Chengxian . The dual form of P-reasoning and identification of unknown attribute[J]. International Journal of Digital Content Technology and its Applications, 2012, 6 (1): 121- 131. doi: 10.4156/jdcta.vol6.issue1.16
8	张丽, 崔玉泉, 史开泉. 外P-集合与数据内-恢复[J]. 系统工程与电子技术, 2010, 32 (6): 1233- 1238. doi: 10.3969/j.issn.1001-506X.2010.06.027
	ZHANG Li , CUI Yuquan , SHI Kaiquan . Outer P-sets and data internal-recovery[J]. Systems Engineering and Electronics, 2010, 32 (6): 1233- 1238. doi: 10.3969/j.issn.1001-506X.2010.06.027
9	ZHANG Ling , REN Xuefang . P-set and (f, ${\bar f}$)-Heredity[J]. Quantitative Logic and Soft Computing, 2010, 2 (3): 735- 743.
10	史开泉. P-信息规律智能融合与软信息图像智能生成[J]. 山东大学学报(理学版), 2014, 49 (4): 1- 17. doi: 10.6040/j.issn.1671-9352.9.2014.001
	SHI Kaiquan . P-information law intelligent fusion and soft information image intelligent generation[J]. Journal of Shandong University (National Science), 2014, 49 (4): 1- 17. doi: 10.6040/j.issn.1671-9352.9.2014.001
11	QIU Yufeng , CHEN Baohui . f-model generated by P-sets[J]. Quantitative Logic and Soft Computing, 2010, 2 (1): 613- 620.
12	ZHANG Li, XIN Ming, SHI Kaiquan. P-sets and applications of internal-outer data circle[C]// The 2nd International Conference on Quantitative Logic and Soft Computing. Berlin: Springer, 2010: 581-591.
13	史开泉. 函数P-集合[J]. 山东大学学报(理学版), 2011, 46 (2): 62- 69.
	SHI Kaiquan . Function P-sets[J]. Journal of Shandong University (National Science), 2011, 46 (2): 62- 69.
14	SHI Kaiquan . Function P-sets[J]. International Journal of Machine Learning and Cybernetics, 2011, 2 (4): 281- 288. doi: 10.1007/s13042-011-0032-1
15	史开泉. 逆P-集合[J]. 山东大学学报(理学版), 2012, 47 (1): 98- 109.
	SHI Kaiquan . Inverse P-sets[J]. Journal of Shandong University (National Science), 2012, 47 (1): 98- 109.
16	SHI Kaiquan. Function inverse P-sets and the hiding information generated by function inverse P-information law fusion[C]// Conference on e-Business, e-Services and e-Society I3E 2014: Digital Services and Information Intelligence. Berlin: Springer, 2014: 224-237.
17	LIN Hongkang , FAN Chengxian . Embedding-camouflage of inverse P-information and application[J]. Journal of Convergence Information and Technology, 2012, 7 (20): 471- 480. doi: 10.4156/jcit.vol7.issue20.55
18	FAN Chengxian , HUANG Shunliang . Inverse P-reasoning discovery-identification of inverse P-information[J]. International Journal of Digital Content Technology and its Applications, 2012, 6 (20): 735- 744. doi: 10.4156/jdcta.vol6.issue20.80
19	MNATSAKANYAN Z R , BURKOM H S , HASHEMIAN M R , et al. Distributed information fusion models for regional public health surveillance[J]. Information Fusion, 2012, 13 (2): 129- 136.
20	ZHANG Wei , ZUO Junyi , QING Guo , et al. Multisensor information fusion scheme for particle filter[J]. Electronics Letters, 2015, 51 (6): 486- 488. doi: 10.1049/el.2014.3051
21	ZHAO Ming , LI Yun , HAO Gang , et al. Information fusion predictive control algorithm for time-varying systems with unknown stochastic system bias[J]. International Journal of Hybrid Information Technology, 2014, 7 (4): 173- 184. doi: 10.14257/ijhit.2014.7.4.15
22	LIU Jingwei , CHEN Yenhsun , CHENG Chinghsue , et al. OWA based PCA information fusion method for classification problemm[J]. International Journal of Information and Management Sciences, 2010, 21 (2): 209- 225.
23	NICHOLSON David . Defence applications of agent-based information fusion[J]. The Computer Journal, 2011, 54 (2): 263- 273.
24	PAWEL Biernacki . Songs recognition using audio information fusion[J]. International Journal of Electronics and Telecommunications, 2015, 61 (1): 37- 41.

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