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内逆P-信息智能融合与属性析取扩展关系 被引量:6

Intelligent fusion of internal inverse packet information and expansion relationship of attribute disjunction
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摘要 逆P-集合是由内逆P-集合与外逆P-集合共同构成的动态模型。逆P-推理是由逆P-集合生成的动态推理,它由内逆P-推理与外逆P-推理共同构成。利用内逆P-集合与内逆P-推理交叉、渗透,给出内逆P-信息智能融合生成与它的属性特征、信息智能融合度与信息智能融合系数概念、外-信息智能融合环定理与融合度-融合系数定理,最后给出内逆P-信息智能融合与它的属性析取扩展结构与属性析取扩展定理。 Inverse packet sets is a dynamic model composed of internal and outer inverse packet set.Inverse packet rea-soning is a dynamic reasoning generated by inverse packet set, and it is composed of internal and outer inverse packet reasoning.Based on internal inverse packet set theory and internal inverse packet reasoning, the intelligent fusion gener-ating of internal inverse packet information and their attribute feature are proposed.The concepts of intelligent fusion de-gree and coefficient are given.Intelligent fusion circle theorem of outer information and fusion degree-coefficient theo-rem are put forward.Intelligent fusion of internal inverse packet information and their structure and theorem of attribute disjunction expansion are also shown.
出处 《山东大学学报(理学版)》 CAS CSCD 北大核心 2014年第2期89-92,97,共5页 Journal of Shandong University(Natural Science)
基金 国家自然科学基金资助项目(61273277) 福建省自然科学基金资助项目(2013J01028) 2013年福建省大学生创新创业训练计划项目(1111) 福建省教育厅A类科技项目(JA10257) 福建省龙岩市科技计划项目(2011LY20)
关键词 逆P-集合 逆P-推理 内逆P-信息 智能融合 属性析取扩展定理 外-融合环定理 inverse packet sets inverse packet reasoning internal inverse packet information intelligent fusion ex-pansion theorem of attribute disjunction outer fusion circle theorem
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  • 1何友,彭应宁,陆大.多传感器数据融合模型综述[J].清华大学学报(自然科学版),1996,36(9):14-20. 被引量:84
  • 2Shi Kaiquan,Xia Jiarong.Function S-rough sets and mining-discovery of rough law in systems[J].Journal of Systems Engineering and Electronics,2006,17(4):919-926. 被引量:25
  • 3SHI Kaiquan. S-rough sets and its applications in diagnosis-recognition for disease[J]. IEEE Proceedings of the First International Conference on Machine Learning and Cybernetics, 2002, 1 (1) : 50-54 被引量:1
  • 4SHI Kaiquan, CUI Yuquan. F-decomposition and F-reduction of S-rough sets[J]. An International Journal Advances in Systems Science and Applications, 2004, 4(4):487-499. 被引量:1
  • 5SHI Kaiquan, CHANG Tingchen, One direction S-rough sets[J]. International Journal of Fuzzy Mathematics, 2005, 13(2) : 319-334. 被引量:1
  • 6SHI Kaicluan. Two direction S-rough sets[J]. International Journal of Fuzzy Mathematics, 2005, 13(2) : 335-349. 被引量:1
  • 7史开泉,姚炳学.函数S-粗集与规律挖掘[M].北京:科学出版社,2007.147-198. 被引量:4
  • 8PAWLAK Z. Rough sets[J]. International Journal of Computer and Information Sciences, 1982, 32(11): 341-356. 被引量:1
  • 9PAWLAK Z. Rough sets[J]. International Journal of Computer and Information Sciences, 1982, 32(11) :341-356. 被引量:1
  • 10SHI Kaiquan. P-sets and its applications[ J]. An International Journal Advances in Systems Science and Applications, 2009, 9(2):209- 219. 被引量:1

共引文献244

同被引文献72

  • 1SHIKaiquan.P-setsanditsapplications[J].AnInternationalJournalAdvancesinSystemsScienceandApplications,2009,9(2):209-219. 被引量:1
  • 2李预颖,谢维奇,史开泉.珔F残缺数据的辨识与恢复[J].山东大学学报:理学版,2009,44(9):57-64. 被引量:1
  • 3FANChengxian,LINHongkang.P-setsandthereasoningidentificationofdisasterinformation[J].InternationalJournalofConvergenceInformationTechnology,2012,7(1):337-345. 被引量:1
  • 4LINHongkang,FANChengxian.ThedualformP-reasoningandidentificationofunknownattribute[J].InternationalJournalofDigitalContentTechnologyanditsApplications,2012,6(1):121-131. 被引量:1
  • 5杨宝强,张雄,李洪烈.信息融合技术研究及其应用[J].空军工程大学学报,2005(2):41-44. 被引量:2
  • 6GRAYDRobinson,HARRYN.Evaluationoftwoapplicationofspectralmixingmodelstoimagefusion[J].RemoteSensEnvirion,2000(71):272-281. 被引量:1
  • 7VARSHNEYPK.Multisensordatafusion[J].JournalofElectronicsComputerEngineering,1997,9(6):245-253. 被引量:1
  • 8WALTZE,LLINASJ.Multisensordatafusion[M].America:ArtechHouse,INC,1990:47-92. 被引量:1
  • 9SHI Kaiquan. P-sets and its applications [J]. Advances in Systems Science and Applications, 2009, 9(2):209-219. 被引量:1
  • 10SHI Kaiquan. Function P-sets[J]. International Journal of Machine Learning and Cybernetics, 2011, 2(4):281-288. 被引量:1

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