文章基本信息

标题：Document Classification System According to the Degree of Semantic Link Expressed Fuzzy Function
本地全文：下载
作者：Hee-Ju Eun
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2016
卷号：10
期号：1
页码：107-118
DOI：10.14257/ijseia.2016.10.1.11
出版社：SERSC
摘要：At present, information retrieval systems are simply expressed with a combination of keyword search according to the direct keyword matching method to get the information that users need. Because of this, documents retrieval systems serve too many documents due to term ambiguity. This makes the user need extra time and effort to get closer the document. To overcome these problems, this paper proposes the information retrieval system based on the content that connects documents according to the degree of semantic link that expresses a fuzzy value by fuzzy function. This paper also proposes an algorithm that produces a hierarchical structure using the degree of concept and content among documents. As a result, we are able to select and to provide user-interested documents.
关键词：Fuzzy Membership function; Fuzzy Similarity Reduction; Fuzzy ; Compatibility Relation; Concept Information; Hierarchical structure; Document ; Classification; Semantic link