DocumentCode :
2099050
Title :
A Novel Algorithm of Computing Similarity Degree between Chinese Articles Based on Tolerance Granular Computing Model
Author :
Fen, Rao ; Xiangjun, Li ; Tao, Liu ; Taorong, Qiu ; Qiuping, Tao
Author_Institution :
Coll. of Econ. & Manage., Nanchang Univ., Nanchang, China
fYear :
2011
fDate :
17-18 Sept. 2011
Firstpage :
313
Lastpage :
316
Abstract :
To the question of Study on Chinese article comparing, this paper applies the principles of granular computing to the computation of similarity degree between Chinese articles. A tolerance granular computing model for computing similarity degree between Chinese articles is built by introducing some concepts such as article tolerance granule, paragraph tolerance granule and granule space information table. Based on tolerance granular computing model, an algorithm for computing similarity degree between Chinese articles is proposed. And the effectiveness of the proposed algorithm is tested by examples and test results.
Keywords :
document handling; granular computing; set theory; Chinese article similarity degree; Chinese documents; article tolerance granule concept; granule space information table concept; paragraph tolerance granule concept; tolerance granular computing model; Accuracy; Approximation methods; Computational modeling; Educational institutions; Libraries; Semantics; Testing; Article comparing; Granular computing; Tolerance granule;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Computing & Information Services (ICICIS), 2011 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-1561-7
Type :
conf
DOI :
10.1109/ICICIS.2011.82
Filename :
6063259
Link To Document :
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