| 基于广义粗糙近似的信息检索方法研究 |
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| 引用本文： | 王珏,刘三阳,张杰.基于广义粗糙近似的信息检索方法研究[J].系统工程与电子技术,2004,26(12):1887-1891. |
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| 作者姓名： | 王珏 刘三阳 张杰 |
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| 作者单位： | 1. 西安电子科技大学理学院,陕西,西安,710071
2. 西安电子科技大学雷达信号处理重点实验室,陕西,西安,710071 |
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| 摘 要： | 基于广义粗糙集———条件概率粗糙集,给出一种新的信息检索模型。分别研究了对于精确的特征词条空间和精确的文档及查询、精确的特征词条空间和模糊的文档及查询、模糊的特征词条空间和模糊的文档及查询这3种情况下的信息检索方法。用户可以根据相关反馈信息来调节特征词条间的支持度,获得满意的检索结果,从而满足自己的信息需求。仿真实例表明该信息检索模型的有效性和实用性。
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| 关 键 词： | 文档 特征词条 信息检索 条件概率关系 模糊条件概率关系 |
| 文章编号： | 1001-506X(2004)12-1887-05 |
| 修稿时间： | 2003年10月15 |
Information retrieval based on generalized rough approximation |
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| WANG Jue,LIU San-yang,ZHANG Jie.Information retrieval based on generalized rough approximation[J].System Engineering and Electronics,2004,26(12):1887-1891. |
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| Authors: | WANG Jue LIU San-yang ZHANG Jie |
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| Institution: | WANG Jue~1,LIU San-yang~1,ZHANG Jie~2 |
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| Abstract: | A novel information retrieval model based on generalized rough sets called conditional probability rough sets is presented. Three kinds of information retrieval methods are studied for crisp document feature sets and crisp documents and query, crisp document feature sets and fuzzy documents and query as well as fuzzy document feature sets and fuzzy documents and query, respectively. The user may adjust the support degree between the document feature sets to obtain satisfactory retrieval results according to the feedback information. Simulation results show that the model is effective and practical. |
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| Keywords: | document document feature sets information retrieval conditional probability relation fuzzy conditional probability relation |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
