DocumentCode :
478964
Title :
Concept Lattice in Incomplete Knowledge System
Author :
Qiang Wu ; Zongtian Liu
Author_Institution :
Dept. of Comput. Technol. & Sci., Shaoxing Coll. of Art & Sci., Shaoxing
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
5
Abstract :
This paper deals with formal concepts in incomplete information systems(IIS) using rough set theory. The maximum distribution reducts based on attributes IIS are first proposed. The relationships between the reducts in the source system and in its selections are investigated. We can acquire concept lattices from incomplete systems by their optimal selections. Empirical studies on UCI data sets demonstrate a significant accuracy obtained from this new approach.
Keywords :
information systems; knowledge acquisition; rough set theory; UCI data set; incomplete information system; incomplete knowledge system; knowledge acquisition; rough set theory; Art; Educational institutions; Information analysis; Knowledge acquisition; Knowledge based systems; Knowledge engineering; Lattices; Mathematical analysis; Paper technology; Set theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.2514
Filename :
4680703
Link To Document :
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