Case retrieval based on formal concept analysis
Case retrieval based on formal concept analysis
复制标题
基于形式概念分析的案例检索
DOI：
10.1166/jctn.2016.5271
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发表时间：
2016
影响因子：
--
通讯作者：
Qi Zhang
中科院分区：
文献类型：
--
作者：
Shi Chongyang;Yu Bai;Niu Zhendong;Qi Zhang
利用形式概念分析，提出了一种新的基于案例的检索方法。该方法采用概念格来表示案例知识库。所提出的检索方法将语义、特征和结构信息结合到决策中。在该度量中，我们使用信息内容法自动获取两个概念相似度得分的语义部分，这两个概念构成了传统的特征和结构相似性评价指标。此外，基于粗糙集的下近似可以计算案例检索的相似度。在四个UCI数据集上的实验结果表明，本文提出的相似性度量比现有的一些相似性度量具有更高的准确率。
This paper proposes a novel case-based retrieval measure by using formal concept analysis. The proposed method employs the concept lattice to express the knowledge base of cases. The proposed retrieval method combines semantic, featural, and structural information into a decision. In this measure, we use the information content approach to obtain automatically the semantic part of the similarity scores of two concepts that constitute the traditional feature and structural similarity-evaluating measures. Furthermore, the similarity for case retrieval can be calculated from the lower approximations on the basis of the rough set. Experiment results on the four UCI datasets show that our proposed similarity measure provides better accuracy than some existing similarity measures.