1 |
GANTER B, WILLE R. Formal Concept Analysis: Mathematical Foundations[M]. Berlin: Springer, 1999: 183-214. 10.1007/978-3-642-59830-2_1
|
2 |
李金海,魏玲,张卓,等. 概念格理论与方法及其研究展望[J]. 模式识别与人工智能, 2020, 33(7):619-642.
|
|
LI J H, WEI L, ZHANG Z, et al. Concept lattice theory and method and its research prospect[J]. Pattern Recognition and Artificial Intelligence, 2020, 33(7): 619-642.
|
3 |
梁吉业,王俊红. 基于概念格的规则产生集挖掘算法[J]. 计算机研究与发展, 2004, 41(8): 1339-1344.
|
|
LIANG J Y, WANG J H. An algorithm for extracting rule-generating sets based on concept lattice[J]. Journal of Computer Research and Development, 2004, 41(8): 1339-1344.
|
4 |
胡学钢,薛峰,张玉红,等. 基于概念格的决策表属性约简方法[J]. 模式识别与人工智能, 2009, 22(4):624-629. 10.3969/j.issn.1003-6059.2009.04.019
|
|
HU X G, XUE F, ZHANG Y H, et al. Attribute reduction methods of decision table based on concept lattice[J]. Pattern Recognition and Artificial Intelligence, 2009, 22(4): 624-629. 10.3969/j.issn.1003-6059.2009.04.019
|
5 |
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. 10.13328/j.cnki.jos.004818
|
|
MA Y, MA W S. Construction of multi-attributes decrement for concept lattice[J]. Journal of Software, 2015, 26(12): 3162-3173. 10.13328/j.cnki.jos.004818
|
6 |
QI J J, WEI L, YAO Y Y. Three-way formal concept analysis[C]// Proceedings of the 2014 International Conference on Rough Sets and Knowledge Technology, LNCS 8818. Cham: Springer, 2014: 732-741.
|
7 |
QIAN T, WEI L, QI J J. Constructing three-way concept lattices based on apposition and sub-position of formal contexts[J]. Knowledge-Based Systems, 2017, 116: 39-48. 10.1016/j.knosys.2016.10.033
|
8 |
苏新,陈永平,杨思春. 基于对象和基于属性的三支概念格合并方法比较[J]. 计算机应用与软件, 2021, 38(11): 282-287. 10.3969/j.issn.1000-386x.2021.11.045
|
|
SU X, CHEN Y P, YANG S C. The comparison of the merging methods of three concept lattices based on object and attribute[J]. Computer Applications and Software, 2021, 38(11):282-287. 10.3969/j.issn.1000-386x.2021.11.045
|
9 |
WEI L, LIU L, QI J J, et al. Rules acquisition of formal decision contexts based on three-way concept lattices[J]. Information Sciences, 2020, 516: 529-544. 10.1016/j.ins.2019.12.024
|
10 |
LI J H, HUANG C C, QI J J, et al. Three-way cognitive concept learning via multi-granularity[J]. Information Sciences, 2017, 378: 244-263. 10.1016/j.ins.2016.04.051
|
11 |
龙柄翰,徐伟华. 模糊三支概念分析与模糊三支概念格[J]. 南京大学学报(自然科学), 2019, 55(4): 537-545.
|
|
LONG B H, XU W H. Fuzzy three-way concept analysis and fuzzy three-way concept lattice[J]. Journal of Nanjing University (Natural Science), 2019, 55(4): 537-545.
|
12 |
贺晓丽,折延宏. 基于属性粒化的近似概念分析及规则提取[J]. 山东大学学报(理学版), 2020, 55(5): 13-21. 10.6040/j.issn.1671-9352.c.2020.005
|
|
HE X L, SHE Y H. Approximate concept analysis and rule acquisition based on attribute granularity[J]. Journal of Shandong University (Natural Science), 2020, 55(5): 13-21. 10.6040/j.issn.1671-9352.c.2020.005
|
13 |
许佳卿,彭鑫,赵文耘. 一种基于模糊形式概念分析的程序聚类方法[J]. 计算机研究与发展, 2009, 46(9): 1556-1566. JournalArticle/5af3f6f8c095d718d8143003
|
|
XU J Q, PENG X, ZHAO W Y. Program clustering for comprehension based on fuzzy formal concept analysis[J]. Journal of Computer Research and Development, 2009, 46(9): 1556-1566. JournalArticle/5af3f6f8c095d718d8143003
|
14 |
李敏,杨亚锋,李丽红. 基于聚类与粒化度量的高效决策表约简[J].电脑知识与技术, 2019, 15(26): 246-248.
|
|
LI M, YANG Y F, LI L H. Efficient decision table reduction based on clustering and granulation measurement[J]. Computer Knowledge and Technology, 2019, 15(26): 246-248.
|
15 |
BELOHLAVEK R, DE BAETS B, KONECNY J. Granularity of attributes in formal concept analysis[J]. Information Sciences, 2014, 260: 149-170. 10.1016/j.ins.2013.10.021
|
16 |
LIU Z, LI B, PEI Z, et al. Formal concept analysis via multi-granulation attributes[C]// Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, Nanjing: Conference Publishing Services, 2017: 1-6. 10.1109/iske.2017.8258818
|
17 |
刘美玉,祁建军,刘伟. 三支概念格中的关联规则提取算法[J]. 西安交通大学学报, 2021, 55(9): 189-196. 10.7652/xjtuxb202109021
|
|
LIU M Y, QI J J, LIU W. Extracting association rules in three-way concept lattices[J]. Journal of Xi'an Jiaotong University, 2021, 55(9): 189-196. 10.7652/xjtuxb202109021
|
18 |
万青,马盈仓,李金海. 基于直观图的三支概念获取及属性特征分析[J]. 计算机科学与探索, 2022, 16(12):2879-2889. 10.3778/j.issn.1673-9418.2104120
|
|
WAN Q, MA Y C, LI J H. Three-way concept acquisition and attribute characteristic analysis based on pictorial diagrams[J]. Journal of Frontiers of Computer Science and Technology, 2022, 16(12):2879-2889. 10.3778/j.issn.1673-9418.2104120
|
19 |
常丽娜,魏玲. 基于OE-近似概念格的不完备决策背景的规则提取[J]. 山东大学学报(理学版), 2021, 56(11): 31-37. 10.6040/j.issn.1671-9352.4.2021.033
|
|
CHANG L N, WEI L. Rules acquisition based on OE-approximate concept lattice in incomplete formal decision contexts[J]. Journal of Shandong University (Natural Science), 2021, 56(11): 31-37. 10.6040/j.issn.1671-9352.4.2021.033
|