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Author:

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

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

Knowledge representation Knowledge acquisition Rough set theory Natural language processing systems

Author Community:

  • [ 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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Source :

Year: 2003

Page: 519-524

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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