期刊文献+

不完备信息系统的规则提取研究 被引量:3

Rule Extraction Research in Incomplete Information System
下载PDF
导出
摘要 粗糙集理论和D-S证据理论都是重要的不确定性推理方法,两者各有优缺点。现实生活中,不完备信息系统广泛存在。研究了将两种理论结合用于不完备信息系统以进行规则提取,并用实例进行了验证。 Both of rough set theory and D-S evidence theory are important uncertainty reasoning methods, and each one has its own advantages and disadvantages. Incomplete information system is widely existed in true life. To study rule extracting in in- complete information system on the basis of two theories. Practical application shows that the result is satisfactory.
出处 《计算机应用研究》 CSCD 北大核心 2007年第7期67-68,74,共3页 Application Research of Computers
基金 国家自然科学基金资助项目(60473012) 江苏省自然科学基金资助项目(BK2005046)
关键词 不完备信息系统 决策表 粗糙集 证据理论 incomplete information system decision table rough set theory D-S evidence theory
  • 相关文献

参考文献9

二级参考文献23

  • 1曾黄麟.粗集理论及其应用[M].重庆:重庆大学出版社,1995.. 被引量:6
  • 2A P Dempster. Upper and lower probabilities induced by amultivalued mapping[J]. Annals of Mathematical Staffstics,1967,38:325-339. 被引量:1
  • 3G Shafer. A mathematical Theory of Evidence[M]. Princeton University Press ,1976. 被引量:1
  • 4Sarabjot S Anand,David A Bell, John G Hughes. EDM.A general Framework for Data Mining based on EvidenceTheory[J]. Data &Knowledge Engineering, 1996,18: 189-223. 被引量:1
  • 5A P Dempster.Upper and lower probabilities induced by a multi-valued mapping[J].Annals of Mathematical Statistics,1967,38:325-339 被引量:1
  • 6G Shafer.A mathematical Theory of Evidence[M].Princeton University Press,1976 被引量:1
  • 7Sarabjot S Anand,David A Bell,John G Hughes.EDM:A general Framework for Data Mining based on Evidence Theory[J].Data &Knowledge Engineering,1996,18:189-223. 被引量:1
  • 8Waltz E, Llinas J. Multisensor Data Fusion [ M ]. Boston: Artech House, 1990. 被引量:1
  • 9David L H. Mathematical Techniques in Multisensor Data Fusion[M]. New York:Artech House,1992. 被引量:1
  • 10Pawlak Z. Rough sets [ J ]. International Joumal of Information and Computer Science, 1982,11 (5) :341 -356. 被引量:1

共引文献13

同被引文献17

引证文献3

二级引证文献5

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