[1] WILLE R. Restructuring lattice theory: an approach based on hierarchies of concepts[C]//Proceedings of the NATO Advanced Study Institute, Banff, Aug 28-Sep 12, 1981. Berlin, Heidelberg: Springer, 1982: 445-470.
[2] GANTER B, WILLE R. Formal concept analysis: mathematical foundations[M]. Berlin, Heidelberg: Springer, 1999.
[3] ZHANG J L, WU X, ZHONG J M, et al. Roll-up and drill-down building algorithms of layered concept lattice[J]. Pattern Recognition and Artificial Intelligence, 2018, 31(4): 310-321.
张家录, 吴霞, 钟嘉鸣, 等. 分层概念格的上卷和下钻构造算法[J]. 模式识别与人工智能, 2018, 31(4): 310-321.
[4] CAI Y, CHEN H M. A parallel algorithm for constructing concept lattice based on hierarchical concept under Map-Reduce[J]. Journal of University of Science and Technology of China, 2018, 48(4): 275-283.
蔡勇, 陈红梅. MapReduce环境下基于概念分层的概念格并行构造算法[J]. 中国科学技术大学学报, 2018, 48(4): 275-283.
[5] ZHU W J, WANG D X, YUAN H C. Improved optimization algorithm of weighted concept lattice[J]. Sensors and Microsystems, 2017, 36(4): 153-156.
朱文君, 王德兴, 袁红春. 构造概念格的权值优化改进算法[J]. 传感器与微系统, 2017, 36(4): 153-156.
[6] YUE X W, PENG S, QIN K Y. Attribute reduction methods of formal context based on object (attribute) oriented concept lattice[J]. Computer Science, 2020, 47(S1): 436-439.
岳晓威, 彭莎, 秦克云. 基于面向对象(属性)概念格的形式背景属性约简方法[J]. 计算机科学, 2020, 47(S1): 436-439.
[7] LIN Y D, LI J J, ZHANG C L. Attribute reductions of fuzzy-crisp concept lattices based on matrix[J]. Pattern Recognition and Artificial Intelligence, 2020, 33(1): 21-31.
林艺东, 李进金, 张呈玲. 基于矩阵的模糊-经典概念格属性约简[J]. 模式识别与人工智能, 2020, 33(1): 21-31.
[8] MA J M, HU L L. Attribute reductions of interval-set concept lattices for decision formal contexts[J]. Pattern Recognition and Artificial Intelligence, 2018, 31(7): 581-590.
马建敏, 胡玲玲. 决策形式背景上区间集概念格的属性约简[J]. 模式识别与人工智能, 2018, 31(7): 581-590.
[9] WEN Y X, WANG J H. Research on a fast method for extracting rules based on horizontal splitting[J]. CAAI Transactions on Intelligent Systems, 2016, 11(4): 526-533.
温云霞, 王俊红. 横向拆分形势背景下的快速规则提取方法[J]. 智能系统学报, 2016, 11(4): 526-533.
[10] HU X K, WANG J H. Research on rule extraction method based on compatibility fuzzy concept[J]. CAAI Transactions on Intelligent Systems, 2016, 11(3): 352-358.
胡小康, 王俊红. 基于相容模糊概念的规则提取方法[J]. 智能系统学报, 2016, 11(3): 352-358.
[11] ZENG L C, ZHANG Z P, ZOU L G. Fast algorithm for incremental construction of concept lattice[J]. Journal of Frontiers of Computer Science and Technology, 2018, 12(11): 1862-1870.
曾利程, 张祖平, 邹力耕. 增量式快速构建概念格算法[J]. 计算机科学与探索, 2018, 12(11): 1862-1870.
[12] WANG C Y, WANG L M, ZHANG Z. Algorithm of maintaining concept lattice based on binary relation decrement[J]. Computer Science, 2016, 43(S2): 35-41.
王春月, 王黎明, 张卓. 基于二元关系消减的概念格维护算法[J]. 计算机科学, 2016, 43(S2): 35-41.
[13] ZHANG L, ZHANG H L, YIN L H, et al. Theory and algorithms of attribute decrement for concept lattice[J]. Journal of Computer Research and Development, 2013, 50 (2): 248-259.
张磊, 张宏莉, 殷丽华, 等. 概念格的属性渐减原理与算法研究[J]. 计算机研究与发展, 2013, 50(2): 248-259.
[14] JIANG Q, ZHANG Z, WANG L M. Algorithms of constructing concept lattice based on deleting multiple attributes synchronously[J]. Journal of Chinese Computer Systems, 2016, 37(4): 646-652.
姜琴, 张卓, 王黎明. 基于多属性同步消减的概念格构造算法[J]. 小型微型计算机系统, 2016, 37(4): 646-652.
[15] MA Y, MA W S. Construction of multi-attributes decrement for concept lattice[J]. Journal of Software, 2015, 26(12): 3162-3173.
马垣, 马文胜. 概念格多属性渐减式构造[J]. 软件学报, 2015, 26(12): 3162-3173. |