Optimizing text summarization based on fuzzy logic

被引：25

作者：

Kyoomarsi, Farshad ^{[1
]}

Khosravi, Hamid ^{[2
]}

Eslarni, Esfandiar ^{[3
]}

Dehkordy, Pooya Khosravyan ^{[1
,4
]}

Tajoddin, Asghar ^{[1
]}

机构：

[1] Islamic Azad Univ, Shahrekord Branch, Tehran, Iran

[2] Univ Shahid Bahonar Kerman, Int Ctr Sci & High Technol & Environm Sci, Kerman, Iran

[3] Shahid Bahonar Univ Kerman, Ctr Excellence Fuzzy System & Appl, Kerman, Iran

[4] Islamic Azad Univ, Arak Branch, Shahrud, Iran

来源：

7TH IEEE/ACIS INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE IN CONJUNCTION WITH 2ND IEEE/ACIS INTERNATIONAL WORKSHOP ON E-ACTIVITY, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/ICIS.2008.46

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we first analyze some state of the art methods for text summarization. We discuss what the main disadvantages of these methods are and then propose a new method using fuzzy logic. Comparisons of results show that our method beats most methods which use machine learning as their core.

引用

页码：347 / +

页数：2

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