Paper Info
Title
Reasoning within intuitionistic fuzzy rough description logics
Abstract
It is generally accepted that the management of imprecision and vagueness will yield more intelligent and realistic knowledge-based applications. Description Logics (DLs) are suitable, well-known logics for managing structured knowledge that have gained considerable attention the last decade. The current research progress and the existing problems of uncertain or imprecise knowledge representation and reasoning in DLs are analyzed in this paper. An integration between the theories of intuitionistic fuzzy DLs and rough DLs has been attempted by providing intuitionistic fuzzy rough DLs based on intuitionistic fuzzy rough set theory. The syntax, semantics and properties of intuitionistic fuzzy rough DLs are given. It is proved that the satisfiability, subsumption, entailment and ABox consistency reasoning in intuitionistic fuzzy rough DLs may be reduced to the corresponding satisfiability, subsumption, entailment and ABox consistency reasoning in fuzzy DL over complete lattice, respectively.
Year
DOI
Venue
2009
10.1016/j.ins.2009.03.001
Inf. Sci.
Keywords
Field
DocType
fuzzy dl,intuitionistic fuzzy dls,structured knowledge,corresponding satisfiability,intuitionistic fuzzy rough description,imprecise knowledge representation,intuitionistic fuzzy rough dls,rough dls,abox consistency reasoning,description logics,intuitionistic fuzzy rough set,knowledge representation and reasoning,fuzzy set,rough set,description logic,satisfiability,complete lattice,fuzzy sets,knowledge base,rough set theory,rough sets
Discrete mathematics,Knowledge representation and reasoning,Logical consequence,Vagueness,Abox,Fuzzy logic,Description logic,Fuzzy set,Rough set,Mathematics
Journal
Volume
Issue
ISSN
179
14
0020-0255
Citations 
PageRank 
References 
28
1.32
47
Authors
4
Name
Order
Citations
PageRank
Yuncheng Jiang137524.36
Yong Tang255476.46
Ju Wang317212.45
Suqin Tang41437.77