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New Technology of Library and Information Service  2005, Vol. 21 Issue (12): 51-54    DOI: 10.11925/infotech.1003-3513.2005.12.12
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Web Document Classification Method Based on Variable Precision Rough Set Model
Wang Xiaoyue   Bai Rujiang
(The Library of Shandong University of Technology, Zibo 255049,China)
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After study on the variable precision rough sets model, this paper adopts variable precision rough sets model to classificate the Web documents.β is introduced, which allows to realize various classification levels of the Web documentsat according to the user’s demand through adusting β value.  The experiment results show that this method can effectively increase the classification flexibility under classification accuracy premise.

Key wordsVariable precision rough set      Attribute reduction      Document classification     
Received: 05 September 2005      Published: 25 December 2005


Corresponding Authors: Bai Rujiang     E-mail:
About author:: Wang Xiaoyue,Bai Rujiang

Cite this article:

Wang Xiaoyue,Bai Rujiang. Web Document Classification Method Based on Variable Precision Rough Set Model. New Technology of Library and Information Service, 2005, 21(12): 51-54.

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