Layered Concept Lattice Model and Its Application to Build Rapidly Concept Lattice

被引:0
作者
Wu, Xia [1 ]
Zhang, Jialu [1 ]
Zhong, Jiaming [2 ]
机构
[1] Xiangnan Univ, Coll Math & Finance, Chenzhou 423000, Peoples R China
[2] Xiangnan Univ, Coll Econ & Management, Chenzhou 423000, Peoples R China
关键词
CONTEXTS;
D O I
10.1155/2020/5784209
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
When some attributes of a formal context can be decomposed into some subattributes a model of layered concept lattice to improve the efficiency of building concept lattice with complex structure attribute data is studied, the relationship between concept lattice and layered concept is discussed. Two algorithms are proposed: one is the roll-up building algorithm in which the upper concepts are built by the lower concept and the other is the drill-down algorithm in which the lower concepts are built by the upper concept. The examples and experiments show that the layered concept lattice model can be used to model complex structure attribute data, and the roll-up building algorithm and the drill-down algorithm are effective. The layered concept lattice model expands the scope of the research and application of concept lattice, the roll-up building algorithm, and drill-down algorithm of layered concept lattice to improve the efficiency for building concept lattice.
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页数:11
相关论文
共 29 条
[1]  
Ali J., 2002, J SYST SOFTWARE, V60, P149, DOI [10.1016/s0164-1212(01)00087-5, DOI 10.1016/S0164-1212(01)00087-5]
[2]  
[Anonymous], 1979, Advances in Fuzzy Set Theory and Applications, DOI DOI 10.1142/9789814261302_0022
[3]  
Burusco A., 1994, MATHWARE SOFT COMPUT, V3, P209
[4]  
[柴玉梅 Chai Yumei], 2012, [计算机学报, Chinese Journal of Computers], V35, P990
[5]  
Chen Qing-yan, 2010, Computer Engineering and Applications, V46, P33, DOI 10.3778/j.issn.1002-8331.2010.35.009
[6]  
[范淑媛 Fan Shuyuan], 2016, [计算机科学, Computer Science], V43, P223
[7]  
Ganter B., 2012, Formal Concept Analysis: Mathematical Foundations
[8]   A fusion approach for managing multi-granularity linguistic term sets in decision making [J].
Herrera, F ;
Herrera-Viedma, E ;
Martínez, L .
FUZZY SETS AND SYSTEMS, 2000, 114 (01) :43-58
[9]   Application of Layered Coding Genetic Algorithm in Optimization of Unequal Area Production Facilities Layout [J].
Hou, Shiwang ;
Wen, Haijun ;
Feng, Shunxiao ;
Wang, Hui ;
Li, Zhibin .
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2019, 2019
[10]   Human-level concept learning through probabilistic program induction [J].
Lake, Brenden M. ;
Salakhutdinov, Ruslan ;
Tenenbaum, Joshua B. .
SCIENCE, 2015, 350 (6266) :1332-1338