DocumentCode
468147
Title
Knowledge Reduction in Consistent Incomplete Decision Systems Based on Dempster-Shafer Theory of Evidence
Author
Wu, Wei-Zhi
Author_Institution
Zhejiang Ocean Univ., Zhejiang
Volume
1
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
392
Lastpage
396
Abstract
Knowledge reduction is an important issue in knowledge representation and knowledge discovery. This paper deals with knowledge reduction in consistent incomplete decision systems based on Dempster-Shafer theory of evidence. We show that, in a consistent incomplete decision system, concepts of both of belief reduct and plausibility reduct are equivalent to the concept of relative reduct.
Keywords
data mining; inference mechanisms; knowledge representation; rough set theory; Dempster-Shafer evidence theory; consistent incomplete decision systems; knowledge discovery; knowledge reduction; knowledge representation; Computational Intelligence Society; Data analysis; Information science; Information systems; Knowledge acquisition; Knowledge representation; Mathematics; Oceans; Physics; Rough sets;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.379
Filename
4405954
Link To Document