| 信息熵在粗糙集信息检索模型中的应用 |
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| 引用本文： | 刘有珠,付雪峰,刘邱云.信息熵在粗糙集信息检索模型中的应用[J].模糊系统与数学,2010,24(3). |
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| 作者姓名： | 刘有珠 付雪峰 刘邱云 |
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| 作者单位： | 1. 南昌工程学院,计算机科学与技术系,江西,南昌,330099
2. 江西师范大学,数学与信息科学学院,江西,南昌,330022 |
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| 摘 要： | 在信息检索过程中,由于文档中存在大量的多义和近义现象,导致不确定性出现,这将影响检索的性能.为此我们采用信息熵和粗糙集理论来处理这类不确定性问题.首先计算训练文档集中的词之间的信息熵,对信息熵做模糊聚类来构造词之间的等价关系,然后借助于该等价关系提出并实现了一个以粗糙集上下近似为基础的信息检索模型,通过实验的测试,该模型能够提高信息检索的效率.
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| 关 键 词： | 信息熵 模糊聚类 粗糙集 信息检索 |
Information Retrieval Models Based on Information Entropy Rough Sets and It s Applications |
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| LIU You-zhu,FU Xue-feng,LIU Qiu-yun.Information Retrieval Models Based on Information Entropy Rough Sets and It s Applications[J].Fuzzy Systems and Mathematics,2010,24(3). |
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| Authors: | LIU You-zhu FU Xue-feng LIU Qiu-yun |
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| Institution: | LIU You-zhu1,FU Xue-feng1,LIU Qiu-yun2 (1. Department of Computer Science and Technology,Nanchang Institute of Technology,Nanchang 330099,China,2. Institute of Mathematics and Informatics,Jiangxi Normal University,Nanchang 330022,China) |
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| Abstract: | In the processing of information retrieval,the existence of polysemy and synonymy would lead to uncertainty,which reduce the effective of information retrieval. In this paper,a model based on information entropy is proposed,in which the uncertainty is captured by rough sets. At first,we count the information entropy between the words of the training corpus,and then the mutual information is employed to build an equivalent relation through fuzzy clustering. We propose and implement an information retrieval m... |
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| Keywords: | Information Entropy Fuzzy Clustering Rough Sets Information Retrieval |
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