Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (1): 75-78.

• 学术探讨 • Previous Articles     Next Articles

Data recognition based on granular computing in binary-dimensional approximate space

YAN Lin,DANG Liu-qun,WEI Yan-tian,ZHANG Xue-dong   

  1. Key Laboratory for Intelligent Information Processing,College of Computer and Information Technology,Henan Normal University,Xinxiang,Henan 453007,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-01-01 Published:2008-01-01
  • Contact: YAN Lin

二维近似空间上基于粒计算的数据识别

闫 林,党留群,魏雁天,张学栋   

  1. 河南师范大学 计算机与信息技术学院 智能信息处理重点实验室,河南 新乡 453007
  • 通讯作者: 闫 林

Abstract: Based on the achievements in scientific researches on combining logical reasoning with granular computing,logical formulas and granules corresponding to the formulas are defined in a binary-dimensional approximate space obtained by expanding an approximate space.To make the needs of data recognition,an important binary-dimensional approximate space,rectangular approximate space,are specially constructed.Through granular computing on the granules corresponding to the formulas in the rectangular approximate space,a concept,rough description of a formula is proposed,so the information hidden in a formula can be recognized via using the formula’s rough description,and this method can effectively realize the purpose of maintaining secrecy when information is transferred.This data recognition by means of granular computing not only indicates the importance, but also shows the practical value about of the theoretical researches in earlier stage.

Key words: rectangular partition, rectangular approximate space, granular computing, rough description

摘要: 利用逻辑推理和粒计算相互融合的研究成果,通过扩展近似空间,在形成的二维近似空间上定义了逻辑公式和公式确定的粒。为数据识别的需要,特别构造了一类重要的二维近似空间——矩形近似空间。经对矩形近似空间上公式确定的粒进行粒计算,得到矩形近似空间上公式粗糙描述的概念,由此可有效地实现对公式中隐含信息的识别,以达到数据保密传送的目的。这种基于粒计算的数据识别不仅表明前期理论研究的重要性,也表明理论结果的应用价值。

关键词: 矩形划分, 矩形近似空间, 粒计算, 粗糙描述