A Novel Algorithm of Computing Similarity Degree between Chinese Articles Based on Tolerance Granular Computing Model
Rao Fen, Xiang-Jun Li, Tao Liu, Qiu Taorong, Tao Qiuping · 2011
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.