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概念粒计算系统外延的判别定理 被引量:1

The Extension Discriminant Theorems of Concept Granule Computing System
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摘要 概念粒计算系统是基于两个完备格之间的外延内涵算子和内涵外延算子构成的模型系统,它包括经典概念格,L模糊概念格及变精度概念格等。本文以三种概念粒计算系统为模型研究了概念外延的特征及其相互关系,给出了外延为经典集、内涵为模糊集和外延为模糊集、内涵为经典集这两种概念粒计算系统的概念外延判别定理,并且讨论了几种模型概念之间的关系与性质。 Concept granule computing system is a model system based on extension intension operator and intension extension operator between two complete lattices. Classic concept lattice, L-fuzzy concept lattice and variable precision concept lattice, etc are included in concept granule computing systems. In this paper, the characteristics o; extension and mutual relations in three concept granule computing systems are researched. Concept extension discriminant theorems of two concept granule computing systems that extension is classic set, intension is fuzzy set, and the reverse are represented. The properties and relations of several model concepts are also discussed.
出处 《模糊系统与数学》 CSCD 北大核心 2012年第6期146-152,共7页 Fuzzy Systems and Mathematics
关键词 模糊形式背景 完备剩余格 概念格 概念粒计算系统 Fuzzy Formal Context Complete Residuated Lattice Concept Lattice Concept Granule Computing System
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  • 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[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.
  • 3[2]Oosthuizen, G. D., The Application of Concept Lattice to Machine Learning, Technical Report, University of Pretoria, South Africa, 1996.
  • 4[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.
  • 5[4]Kent, R. E., Bowman, C. M., Digital Libraries, Conceptual Knowledge Systems and the Nebula Interface, Technical Report, University of Arkansas, 1995.
  • 6[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.
  • 7[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.
  • 8[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.
  • 9[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.
  • 10[9]Ho, T. B., An approach to concept formation based on formal concept analysis, IEICE Trans. Information and Systems, 1995, E782D (5): 553-559.

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  • 1仇国芳,马建敏,杨宏志,张文修.概念粒计算系统的数学模型[J].中国科学(F辑:信息科学),2009,39(12):1239-1247. 被引量:19
  • 2张文修,魏玲,祁建军.概念格的属性约简理论与方法[J].中国科学(E辑),2005,35(6):628-639. 被引量:194
  • 3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
  • 4刘利峰,吴孟达,王丹.基于属性约简的概念格构造[J].计算机工程与科学,2007,29(6):140-142. 被引量:5
  • 5Wille R. Restructuring lattice theory: An approach based on hierarchies of concepts[Z]. Boston:Ordered Sets, 1982: 445-470.
  • 6Pawlak Z. Rough sets[J]. International Journal of Computer and Information Sciences, 1982,11:341- 356.
  • 7Yao Y Y. A comparative study of formal concept analysis and rough set theory in data analysis[C]//Lecture Notes in Artificial Intelligence 3066,2004 : 59 - 68.
  • 8Yao Y Y, Chen Y H. Rough set approximations in formal concept analysis[C]//Proceedings of Annual Meeting of the North American Fuzzy Information Processing Society,New York,2004=73-78.
  • 9Medina J. Multi-adjoint property-oriented and object-oriented concept lattices[J]. Information Sciences, 2012,190 .. 95 -106.
  • 10Medina J. Relating attribute reduction in formal, object-oriented and property-oriented concept lattices [J ]. Computers and Mathematics with Applications, 2012,64 : 1992- 2002.

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