文章基本信息

标题：COMPARING FUZZY LOGIC AND FUZZY C-MEANS (FCM) ON SUMMARIZING INDONESIAN LANGUAGE DOCUMENT
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作者：DWI ADE RIANDAYANI ; I KETUT GEDE DARMA PUTRA ; PUTU WIRA BUANA 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：59
期号：3
出版社：Journal of Theoretical and Applied
摘要：Text summarization is one way to get the information which is quite effective. Approach techniques of the text summarization are classified into two, namely abstractive and extractive. This paper is focused on the extractive techniques so that the output of the application is important sentences which are taken from the original text intact without modification verbally. There are four majors processes in this research namely preprocessing stage, scoring features, optimization of summarization by two methods (Fuzzy Logic and Fuzzy C-Means), and extraction of summary results. This research use 7 features to calculate the score of each sentence. The core of this research is to compare reliability Fuzzy logic and Fuzzy C-Means method in optimizing process of summary results. The results showed that the method of Fuzzy Logic is outperformed Fuzzy C-Means method with the closest similarity ratio to summarize manually by humans with percentage accuracy of Fuzzy Logic is 58.25% while Fuzzy C-Means method is 54.33%. Increased accuracy occurs when there is additional compression rate in the amount of 1.67% for Fuzzy Logic Method and 4.5% for Fuzzy C-Means.
关键词：Summarization; Text Features; Scores Sentences; Fuzzy Logic; Fuzzy C�Means