Title :
Knowledge Reduction in Consistent Incomplete Decision Systems Based on Dempster-Shafer Theory of Evidence
Author_Institution :
Zhejiang Ocean Univ., Zhejiang
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.379
