DocumentCode
499034
Title
Revisit Boolean Lattice based Fuzzy Description Logic
Author
Feng, Sha-Sha ; Zhang, Yong-Gang ; Sun, Ji-gui
Author_Institution
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Volume
1
fYear
2009
fDate
12-15 July 2009
Firstpage
297
Lastpage
301
Abstract
Fuzzy description logics are a family of logics which allow the representation of (and the reasoning within) structured knowledge affected by uncertainty and vagueness. A well studied solution is to extend description logics with fuzzy sets theory. To solve implication problems in this kind of fuzzy description logics, Boolean lattice based fuzzy description logics is revisited. This paper shows that compared with fuzzy sets based fuzzy description logics, the new formalism not only eliminates the counter-intuitive implication problem, but also possesses simply and efficient reasoning algorithms. Boolean lattice based fuzzy description logic also find its potential application in debugging knowledge base and distributed fuzzy description logics.
Keywords
Boolean algebra; fuzzy logic; fuzzy set theory; inference mechanisms; knowledge representation; distributed fuzzy description logic; fuzzy sets theory; knowledge debugging; reasoning algorithm; revisit Boolean lattice; structured knowledge representation; Boolean functions; Cybernetics; Fuzzy logic; Lattices; Machine learning; Boolean Lattice; Fuzzy Description Logic; Ontology; knowledge representation and reasoning; uncertain knowlege;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212493
Filename
5212493
Link To Document