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New Technology of Library and Information Service  2011, Vol. 27 Issue (1): 94-98    DOI: 10.11925/infotech.1003-3513.2011.01.15
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Application of the Fuzzy Rule Algorithm in the Classification of Educational Information
Liang Wenchao, Xu Chaojun, Shen Shusheng
Department of Educational Technology, Nanjing Normal University, Nanjing 210097, China
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Because of the fact that the introductions of primary and secondary schools have less feature items and unequal weights, the authors use the strategies of denoising, processing synonym features based on fuzzy set to build category vocabularies, and then classify short texts using the classification model which is based on category vocabularies and fuzzy rules. The results show that using fuzzy rules to classify the short texts which have less feature items and uneven distribution of weight is better than VSM, Rocchio and other classification algorithms.

Key wordsTF-IDF      Fuzzy rules      Classification     
Received: 17 November 2010      Published: 12 February 2011



Cite this article:

Liang Wenchao, Xu Chaojun, Shen Shusheng. Application of the Fuzzy Rule Algorithm in the Classification of Educational Information. New Technology of Library and Information Service, 2011, 27(1): 94-98.

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