| 粗集理论在信息检索中的应用研究 |
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| 引用本文： | 陈超泉,严华.粗集理论在信息检索中的应用研究[J].情报杂志,2011,30(2). |
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| 作者姓名： | 陈超泉 严华 |
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| 作者单位： | 1. 桂林理工大学现代教育技术中心,桂林,541004
2. 桂林理工大学信息科学与工程学院,桂林,541004 |
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| 摘 要： | 在对信息检索过程中,文档的属性信息是不确定性或者是不完全的,很难做出决策。基于此,提出将粗集理论应用于信息检索模型中,构造语料库的邻接矩阵,通过对扩展的特征项与文档的上近似集和下近似集的重叠程度的比较,来确定文档与查询的相关性,并通过相关度来对文档进行取舍。通过实验证明,该方法可以提高信息检索的准确率。
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| 关 键 词： | 粗集 信息检索 不完备 召回率 邻接矩阵 |
Rough Set Theory in Information Retrieval Research |
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| Chen Chaoquan,Yan Hua.Rough Set Theory in Information Retrieval Research[J].Journal of Information,2011,30(2). |
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| Authors: | Chen Chaoquan Yan Hua |
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| Institution: | Chen Chaoquan1 Yan Hua2 (1.Education Technology Center,Guilin University of Technology,Guilin 541004,(2.College of Information Science and Engineering,Guilin 541004) |
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| Abstract: | It is often encountered that the attribute imformation of document is uncertain or incomplete,which makes it rather difficult for the information retrieval process to make a decision.To solve the problem,the article proposes method of applying the Rough Sets Theory to information retrieval model,and the successful application of the method involves constructing the adjacent matrix for corpus,determining the relevance of documents and queries by comparing the extensible feature items with the overlap degree ... |
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| Keywords: | rough set information retrieval incomplete recall rate adjacency matrix |
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