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动态粗信息粒度矩阵的关系讨论 被引量:3

The Discussion between Some Forms and Their Relations on Rough Information Granularity Matrix
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摘要 在前面已讨论过的静态粗信息矩阵数量特征(粒度、精度)基础上,利用动态粗糙集理论,进一步给出动态粗信息粒度矩阵的三种形式,系统地讨论了静态、动态系统的粗信息粒度矩阵的特征及其关系定理,这一研究不仅完善了粗信息矩阵这一新的研究方向内容,而且为动态系统的知识挖掘提供了一个可靠的依据。 This paper further gives three forms on dynamic rough information granularity matrix and discusses systematically their quantity characteristic as well as relations by combining with dynamic rough theory,based on discussed quantity characteristics(granularity,precision) with static rough information matrix.This will not only profit the research direction content of rough information matrix but also provide a reliable evidence for dynamic system knowledge mining.
出处 《模糊系统与数学》 CSCD 北大核心 2011年第5期144-149,共6页 Fuzzy Systems and Mathematics
基金 山东省自然科学基金重点资助项目(ZR2007HO2) 山东省社会科学规划办研究项目(09CJGJ13) 山东省科学技术厅项目(2011RKGB5004)
关键词 粗糙集 粗信息矩阵 粗信息粒度矩阵 单向对偶粗信息粒度矩阵 Rough Sets Rough Information Matrix Rough Information Granularity Matrix Dual of One Direction Rough Information Granulation Matrix
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参考文献12

  • 1Pawlak Z. Rough sets[J]. International Journal of International Sciences, 1982, (11):341-356.
  • 2Pawlak Z. Rough sets, decision algorithm and Bayes' theorem [J]. European Journal of Operation Research,2002, (136) :181-189.
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二级参考文献32

  • 1Shi Kaiquan 1,21. School of Mathematics and System Sciences, Liaocheng University, Liaocheng 252059, P. R. China,2. School of Mathematics and System Sciences, Shandong University, Jinan 250100, P. R. China.S-rough sets and knowledge separation[J].Journal of Systems Engineering and Electronics,2005,16(2):403-410. 被引量:104
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  • 5Z Pawlak.Rough sets[J].International Journal of International Sciences,1982,(11):341 -356.
  • 6SHI Kaiquan.S-rough sets and its application in diagnosis recognition for disease[J].IEEE Proceedings of the First International Conference on Machine Learning and Cybenetics,2002,4(1):50-54.
  • 7SHI Kaiquan,CUI Yuquan.One direction S-rough decision and its decision model[J].IEEE Proceedings of the Third International Conference on Machine Learning and Cybenetics,2004,7(3):1352-1356.
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  • 9YIN Shoufeng,HU Haiqing,SHI Kaiquan.Rough recognition of knowledge and its applications[J].An International Journal of Advances in System Sciences and Applications,2004,(1):13 -22.
  • 10Z Pawlak.Rough sets theoretical aspects of reasoning about data[M].Dordrecht:Kluwer Academic Publishers,1991.

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