Research on the Theory and Methods for Similarity Calculation of Rough Formal Concept in Missing-Value Context

摘要：

In this paper, for the low similarity computation accuracy of concept in the field of agriculture ontology mapping, formal concept analysis theory and rough set theory are introduced to similarity computation. Jointly considering attribute hierarchies in concept lattice, the semantic hierarchy of the concepts are weighted differently, and the theory and methods of similarity calculation of rough formal concept in missing-value context is given. Finally, similarity computing model is prospected. Experimental results show the model has a high computational accuracy.

作者: Wang Kai Li Shao-Wen Zhang You-Hua Liu Chao

作者单位: School of Information and Computer Science, Anhui Agricultural University, Hefei, China

会议类型: 国际会议

会议名称: The 4th IFIP International on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information(第四届国际计算机及计算机技术在农业中的应用研讨会暨第四届中国农业信息化发展论坛 CCTA 2010)

会议地点: 南昌

会议语种:英文

页码: 425-433

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）