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Attribute reduction theory of concept lattice based on decision formal contexts 被引量:38

Attribute reduction theory of concept lattice based on decision formal contexts
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摘要 The theory of concept lattices is an efficient tool for knowledge representation and knowledge discovery, and is applied to many fields successfully. One focus of knowledge discovery is knowledge reduction. Based on the reduction theory of classical formal context, this paper proposes the definition of decision formal context and its reduction theory, which extends the reduction theory of concept lattices. In this paper, strong consistence and weak consistence of decision formal context are defined respectively. For strongly consistent decision formal context, the judgment theorems of consistent sets are examined, and approaches to reduction are given. For weakly consistent decision formal context, implication mapping is defined, and its reduction is studied. Finally, the relation between reducts of weakly consistent decision formal context and reducts of implication mapping is discussed.
出处 《Science in China(Series F)》 2008年第7期910-923,共14页 中国科学(F辑英文版)
基金 the National 973 Program of China (Grant No.2002CB312200) the National Natural Science Foundation of China (Grant Nos.60703117, 60433010 and 60673096) the Doctor Research Fund of Northwest University in China
关键词 concept lattice decision formal context attribute reduction discernibility matrix implication mapping concept lattice, decision formal context, attribute reduction, discernibility matrix, implication mapping
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参考文献11

  • 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:76
  • 2Wille R.Restructuring lattice theory: An approach based on hierarchies of concepts[].Ordered Sets.1982
  • 3Oosthuizen G D.The application of concept lattice to machine learning[]..1996
  • 4Ho T B.Incremental conceptual clustering in the framework of Galois lattice[].KDD: Techniques and Applications.1997
  • 5Kent R E,Bowman C M.Digital libraries,conceptual knowledge systems and the nebula interface[]..1995
  • 6Corbett D,Burrow A L.Knowledge reuse in SEED exploiting conceptual graphs[].Proceeding of th International Conference on Conceptual Graphs (ICCS’).1996
  • 7Sutton A,Maletic J I.Recovering UML class models from C++: a detailed explanation[].Inf Software Tech.2007
  • 8Siff M,Reps T.Identifying modules via concept analysis[].Proceedings of International Conference on Software Maintenance.1997
  • 9HoT B.An approach to concept formation based on formal concept analysis[].IEICE Transactions on Information and Systems.1995
  • 10Yao Y Y.Concept lattices in rough set theory[].Proceedings of Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS ).2004

二级参考文献19

  • 1[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.
  • 2[2]Oosthuizen, G. D., The Application of Concept Lattice to Machine Learning, Technical Report, University of Pretoria, South Africa, 1996.
  • 3[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.
  • 4[4]Kent, R. E., Bowman, C. M., Digital Libraries, Conceptual Knowledge Systems and the Nebula Interface, Technical Report, University of Arkansas, 1995.
  • 5[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.
  • 6[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.
  • 7[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.
  • 8[8]Hu, K. Y., Lu, Y. C., Shi, C. Y., Advances in concept lattice and its application, Journal of Tsinghua University (Science & Technology), 2000, 40(9): 77-81.
  • 9[9]Ho, T. B., An approach to concept formation based on formal concept analysis, IEICE Trans. Information and Systems, 1995, E782D (5): 553-559.
  • 10[10]Carpineto, C., Romano, G., Galois: an order-theoretic approach to conceptual clustering, in Proceedings of ICML 293 (ed. Utgoff, P.), Amherst: Elsevier, 1993, 33-40.

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