A research summary about triadic concept analysis

被引：0
|
作者：
Ling Wei
Ting Qian
Qing Wan
Jianjun Qi
机构：
[1] Northwest University,School of Mathematics
[2] Xi’an Polytechnic University,College of Science
[3] Xidian University,School of Computer Science and Technology
来源：
International Journal of Machine Learning and Cybernetics | 2018年 / 9卷
关键词：
Triadic concept analysis; Triadic implications; Triadic association rules; Triadic factor analysis; Triadic fuzzy concept analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Triadic concept analysis (TCA) is an extension of formal concept analysis (FCA), which can be applied to machine learning, data mining, information retrieval, and so on. This paper summarizes the current situation and the development tendency of TCA. We introduce TCA in this paper from four aspects: basic notions of triadic concept analysis, triadic implications and triadic association rules, triadic factor analysis and triadic fuzzy concept analysis.
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页码：699 / 712
页数：13
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