DocumentCode :
2665519
Title :
Vague rough set and its application to knowledge acquisition
Author :
Huang, Xianming ; Yi, Jikai
Author_Institution :
Electron. Inf. and Control Eng. Coll., Beijing Univ. of Technol., China
fYear :
2003
fDate :
26-29 Oct. 2003
Firstpage :
519
Lastpage :
524
Abstract :
Rough set theory is a mathematical method to deal with vague uncertain knowledge and data representation, learning and induction. But in the process of knowledge acquisition, data of the knowledge representation system are required to be precise. The present arithmetic of knowledge acquisition is inapplicable to vague data. The concept of rough sets is extended by idea of vague sets. A new concept - vague rough set - is presented. Its operational character and new knowledge acquisition algorithm are discussed. An example of acquiring rules from vague data is also discussed.
Keywords :
fuzzy set theory; knowledge acquisition; knowledge representation; rough set theory; data representation; knowledge acquisition; knowledge representation system; vague rough set theory; vague uncertain knowledge; Arithmetic; Control engineering; Data analysis; Decision making; Educational institutions; Fuzzy sets; Information analysis; Information processing; Knowledge acquisition; Knowledge representation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003 International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-7902-0
Type :
conf
DOI :
10.1109/NLPKE.2003.1275959
Filename :
1275959
Link To Document :
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