期刊文献+

两类概念格的依赖空间理论 被引量:4

Dependence Space Based on Two Types of Concept Lattices
下载PDF
导出
摘要 对象定向概念格和属性定向概念格是经典概念格的两种推广模型。首先,利用对象幂集上的一对对偶近似算子分别定义了对象定向概念格和属性定向概念格上的同余关系。其次,分别基于两类同余关系构造了一个内部算子和一个闭包算子,并研究了内部算子与对象定向概念格的关系以及闭包算子与属性定向概念格的关系。最后将对象(属性)定向概念格之间的关系转化为相应的同余关系之间的关系。 Object oriented concept lattice and attribute oriented concept lattice are two types of generalized models of classical concept lattice. Firstly, two congruence relations were defined respectively on object power sets of object orien- ted concept lattice and attribute oriented concept lattice using a pair of dual approximation operators. Secondly, an inner operator and a closure operator were constructed based on two kinds of congruence relations. Then relationship between the inner operator and object oriented concept lattice was studied as well as relationship between the closure ope- rator and attribute oriented concept lattice. Finally, relationships between two object oriented concept lattices were transformed into relationships between the corresponding congruence relations.
出处 《计算机科学》 CSCD 北大核心 2014年第2期236-239,共4页 Computer Science
基金 国家自然科学基金项目(61202206 61272021 61075120 61173181 11071284 60673096 11071281) 浙江省自然科学基金重点项目(LZ12F03002)资助
关键词 形式背景 对象定向概念格 属性定向概念格 同余关系 依赖空间 Formal context, Object oriented concept lattice, Attribute oriented concept lattice, Congruence relation, De- pendence space
  • 相关文献

参考文献4

二级参考文献42

  • 1ZHANG Wenxiu,WEI Ling,QI Jianjun.Attribute reduction theory and approach to concept lattice[J].Science in China(Series F),2005,48(6):713-726. 被引量:73
  • 2魏玲,祁建军,张文修.概念格与粗糙集的关系研究[J].计算机科学,2006,33(3):18-21. 被引量:17
  • 3吴强,周文,刘宗田,陈慧琼.基于粗糙集理论的概念格属性约简及算法[J].计算机科学,2006,33(6):179-181. 被引量:10
  • 4[1]Wille, R., Restructuring lattice theory: an approach based on hierarchies of concepts, in Ordered Sets (ed. Rival, I.), Dordrecht-Boston: Reidel, 1982, 445-470.
  • 5[2]Oosthuizen, G. D., The Application of Concept Lattice to Machine Learning, Technical Report, University of Pretoria, South Africa, 1996.
  • 6[3]Ho, T. B., Incremental conceptual clustering in the framework of Galois lattice, in KDD: Techniques and Applications (eds. Lu, H., Liu, H., Motoda, H.,), Singapore: World Scientific, 1997, 49-64.
  • 7[4]Kent, R. E., Bowman, C. M., Digital Libraries, Conceptual Knowledge Systems and the Nebula Interface, Technical Report, University of Arkansas, 1995.
  • 8[5]Corbett, D., Burrow, A. L., Knowledge reuse in SEED exploiting conceptual graphs, International Conference on Conceptual Graphs (ICCS'96), Sydney, University of New South Wales, 1996, 56-60.
  • 9[6]Schmitt, I., Saake, G., Merging Inheritance hierarchies for scheme integration based on concept lattices [EB/OL]. http: //www.mathematic.tu-darm stadt.de/ags/ag1.
  • 10[7]Siff, M., Reps, T., Identifying modules via concept analysis, in International Conference on Software Maintenance (eds. Harrold, M. J., Visaggio, G.), Bari, Italy, Washington, DC: IEEE Computer Society, 1997, 170-179.

共引文献90

同被引文献27

  • 1ZHANG Wenxiu,WEI Ling,QI Jianjun.Attribute reduction theory and approach to concept lattice[J].Science in China(Series F),2005,48(6):713-726. 被引量:73
  • 2范世青,张文修.模糊概念格与模糊推理[J].模糊系统与数学,2006,20(1):11-17. 被引量:12
  • 3Ganter B,Wille R.Formal concept analysis:mathematicalfoundations[M].New York:Springer-Verlag,1999.
  • 4Pawlak Z.Rough sets theoretical aspects of reasoning aboutdata[M].Boston:Kluwer Academic Publishers,1991.
  • 5Gediga G,Duntsch I.Modal-style operators in qualitative data analysis[C].Proceedings of the 2002 IEEE International Conference on Data Mining,2002:155-162.
  • 6Yao Y Y.A comparative study of formal concept analysisand rough set theory in data analysis[C].Proceedingsof 3rd International Conference,RSCTC’04,2004:59-68.
  • 7Yao Y Y.Concept lattices in rough set theory[C].Proceedingsof 23rd International Meeting of the North American FuzzyInformation Processing Society,2004:796-801.
  • 8Wang Xia.Approaches to attribute reduction in conceptlattices based on rough set theory[J].International Journalof Hybrid Information Technology,2012,5(2):67-80.
  • 9Wang Xia.Construction of a unified model for formal contextsand formal decision contexts[J].International Journalof Database Theory and Application,2014,7(2):81-90.
  • 10Wang Xia,Wu Weizhi.Approximate reduction in inconsistentformal decision contexts[C].Proceedings 2012 IEEE InternationalConference on Granular Computing,2012:616-621.

引证文献4

二级引证文献6

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