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Author:

Huang, XM (Huang, XM.) | Yi, JK (Yi, JK.)

Indexed by:

CPCI-S

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.

Keyword:

vague set knowledge acquisition rough set

Author Community:

  • [ 1 ] Beijing Univ Technol, Elect Informat & Control Engn Coll, Beijing 100022, Peoples R China

Reprint Author's Address:

  • [Huang, XM]Beijing Univ Technol, Elect Informat & Control Engn Coll, Beijing 100022, Peoples R China

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Source :

2003 INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING, PROCEEDINGS

Year: 2003

Page: 519-524

Language: English

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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