DocumentCode :
3265162
Title :
Approaches to Decision Inference Rules Based on Concept Lattices
Author :
Qiu, Guo-Fang
Author_Institution :
Sch. of Manage., Xi´´an Univ. of Archit. & Technol., Xi´´an, China
Volume :
2
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
52
Lastpage :
55
Abstract :
Four kinds of basic decision rule sets are respectively produced from the formal concept lattice, the dual formal concept lattice, the object-oriented concept lattice and the attribute-oriented concept lattice in a formal context. Based on these sets, two types of decision inferences are established via an inclusion degree. The corresponding decisions by inferences are proved to be the lower and the upper approximated decisions. Thus total decision rules described as the lower and the upper approximated decision rules are obtained. And they are accordant and consistent with the basic decision rule sets.
Keywords :
decision theory; inference mechanisms; object-oriented methods; attribute-oriented concept lattice; decision inference rules; dual formal concept lattice; inclusion degree; object-oriented concept lattice; Computational intelligence; Computer architecture; Conference management; Data analysis; Electronic mail; Home computing; Information retrieval; Lattices; Machine learning; Technology management; concept lattice; decision rule; inclusion degree; inference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
Type :
conf
DOI :
10.1109/CINC.2009.181
Filename :
5231053
Link To Document :
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