An augment algorithm based on sufficient formal context
Formal Concept Analysis (FCA ) is one of the powerful tools for cognitive science. A concept lattice induced by a context is the core data structure of FCA. A formal context expresses the incidence relation between objects and attributes. It is obvious that the constraint relation between attributes exists. An attribute hierarchy constituted by the attribute relation inevitably restricts the formation of context. Based on an attribute hierarchy, studying the property of the attribute hierarchy, sufficient formal context is defined, the augment algorithm of generating sufficient context is given, and its performance is shown.
sufficient formal context Reduction method augment method
Wu Wenbing Yang Shuqun Chen Wenxiang
Fuzhou Technical College of Foreign Studies, Fuzhou, China School of Information Science and Technol Faculty of Software, Fujian Normal University, Fuzhou, China School of Information Science and Technology, Xiamen University, Xiamen, China
国际会议
上海
英文
361-363
2010-06-22（万方平台首次上网日期，不代表论文的发表时间）