基于模糊语言方法的信息检索系统的研究

该文提出了一个基于模糊语言方法的信息检索系统模型。该系统分为查询界面子系统、数据库子系统和检索子系统三大部分。在查询界面子系统，用布尔表达式表示用户的查询请求，并对每个查询关键词赋予了两种不同语义的语言值权重，该权重表达了用户的模糊检索要求；在数据库子系统，用索引词一文档模糊矩阵表示待检索的文档，对每个索引词。根据其在文档中的出现频率大小。引入了数值权重；在检索子系统，运用模糊语言方法，对用户输入的布尔查询表达式与索引词一文档模糊矩阵进行自底向上的模糊匹配，最后返回满足用户要求的检索结果。相对于传统的基于查询关键词精确匹配的检索系统而言，该系统能较好地满足用户查询要求中的灵活性。

An Information Retrieval System Based on Fuzzy Linguistic Approach

An information retrieval system model based on fuzzy linguistic approach is presented in this paper.The system has three components:the query subsystem,the database subsystem and the retrieval subsystem.In the query subsystem,the user's retrieval information is expressed by the Boolean expression,and whose term is weighted by two weights of linguistic value,they mean different semantic respectively and express the user's fuzzy retrieval needs. In the database subsystem,the retrieved documents are represented by the fuzzy relational matrix of index-terms-documents,for each index term is weighted by a numerical weight according to its presence frequency in the document.In the retrieval subsystem,it uses the fuzzy linguistic approach to realize the bottom-up and fuzzy matching between the Boolean expression and the fuzzy relational matrix of index-terms-documents,at last it returns the desired documents which the user needs.With respect to other traditional information retrieval systems based on precise matching between the terms and the retrieved documents,this system can give users more flexibility when they retrieve their desired documents.