期刊文献+

基于内外因分析的粗糙近似算子 被引量:1

Rough approximation operators based on internal/external factors analysis
下载PDF
导出
摘要 根据哲学的内外因原理,建立了基于外因驱动的动态信息系统模型,提出了属性值变迁集和变迁属性集2个概念,并提出了2对基于内外因分析的粗糙近似算子,用以研究外因对信息系统变化的作用. According to the philosophic rule of internal and external factors to the change of objects,the internal factors were the evidence and base of the change of objects,while the external factors were the condition,and the external factors took action by means of the internal factors.It was constructed a dynamic information system based on time sequence and driven by the external factors,and proposed pair of concepts of attribute value transition and transitional attribute set,and then presented two pairs of rough approximation operators based on internal/extermal factors analysis in dynamic information system above to study the actions of external factors to the change of information system.
出处 《浙江师范大学学报(自然科学版)》 CAS 2010年第2期168-172,共5页 Journal of Zhejiang Normal University:Natural Sciences
基金 浙江省教育厅科研项目(20071162)
关键词 粗糙集 近似算子 内外因分析 动态信息系统 rough set approximation operator internal and external factors analysis dynamic information system
  • 相关文献

参考文献18

  • 1Pawlak Z.Rough sets[J].International Journal of Computer and Information and Sciences,1982,11:341-356.
  • 2Pawlak Z.Rough sets and intelligent data analysis[J].Information Sciences,2002,147(1/2/3/4):1-12.
  • 3Yao Yiyu.A comparative study of formal concept analysis and rough set theory in data analysis[C]//Rough Sets and Current Trends in Computing.Berlin:Springer,2004:59-68.
  • 4Michal R C,Grzymala-Busse J W.Global discretization of continuous attributes as preprocessing for machine learning[J].International Journal of Approximate Reasoning,1996,15(4):319-331.
  • 5Pawlak Z.Rough sets:Theoretical Aspects of Reasoning about Data[M].Boston:Kluwer Academic Publishers,1991.
  • 6Chan Chienchung.A rough set approach to attribute generalization in data mining[J].Journal of Information Sciences,1998,107(1):169-176.
  • 7Lingras P J,Yao Yiyu.Data mining using extensions of the rough set model[J].Journal of the American Society for Information Science,1998,49(5):415-422.
  • 8David M S.Knowledge discovery by inspection[J].Decision Support Systems,1997,21(1):43-47.
  • 9Pawlak Z.Rough set approach to Knowledge-based decision support[J].European Journal of Operational Research,1997,99(1):48-57.
  • 10Yao Yiyu,Lin T Y.Generalization of rough sets using modal logic[J].Intelligent Automation and Soft Computing,1996(2):103-120.

二级参考文献25

  • 1张文修 梁怡.不确定性推理原理[M].西安:西安交通大学出版社,1995..
  • 2Yao Y Y,Formation Sciences,1998年,111卷,1期,239页
  • 3Yao Y Y,Intelligent Automationand Soft Computingan Int J,1996年,2卷,2期,103页
  • 4Zhang Wenxiu,The uncertainty reasoning principles,1996年
  • 5Yao Y Y,Int J Man Machine Studies,1992年,37卷,3期,793页
  • 6Lin T Y,Proceedings of the Fifth International Symposium on Methodologies of the Intelli,1990年,130页
  • 7Lin T Y,Proceedings of the Fourth International Sumposium on Methodologies of Intelligen,1989年
  • 8张文修,不确定性推理原理,1995年
  • 9Han Jiawei, Kamber Micheline. Data Mining: Concepts and Techniques. San Francisco, CA: Morgan Kaufmann Publishers,Inc, 2001
  • 10YongSeog Kim. Feature selection in supervised and unsupervised learning via evolutionary search: [ Ph. D. dissertation ] . Iowa:University of Iowa, 2001

共引文献49

同被引文献9

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部