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作者:

Huang, Xianming (Huang, Xianming.) | Yi, Jikai (Yi, Jikai.)

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EI Scopus

摘要:

Rough set theory is a mathematical theoretic method to deal with vague uncertain knowledge and data's representation, learning and induction. But in the process of knowledge acquisition, data of knowledge representation system are desired to be precise. The present arithmetic of knowledge acquisition is inapplicable to vague data In this paper the concept of rough set is extended by idea of vague set. A new concept-vague rough set is presented. There are some discussions about its operation character and new knowledge acquisition algorithm. Also in this paper, an example of acquiring rules from vague data is discussed © 2003 IEEE.

关键词:

Knowledge acquisition Knowledge representation Natural language processing systems Rough set theory

作者机构:

  • [ 1 ] [Huang, Xianming]Electronic Information and Control Engineering College, Beijing University of Technology, Beijing; 100022, China
  • [ 2 ] [Yi, Jikai]Electronic Information and Control Engineering College, Beijing University of Technology, Beijing; 100022, China

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来源 :

年份: 2003

页码: 519-524

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

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