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» Rough Set Approximations in Formal Concept Analysis
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FSS
2008
113views more  FSS 2008»
13 years 7 months ago
Consistency measure, inclusion degree and fuzzy measure in decision tables
Classical consistency degree has some limitations for measuring the consistency of a decision table, in which the lower approximation of a target decision is only taken into consi...
Yuhua Qian, Jiye Liang, Chuangyin Dang
APSEC
2000
IEEE
14 years 3 days ago
Fuzzy concepts and formal methods: some illustrative examples
It has been recognised that formal methods are useful as a modelling tool in requirements engineering. Specification languages such as Z permit the precise and unambiguous modell...
Chris Matthews, Paul A. Swatman
DASFAA
2005
IEEE
171views Database» more  DASFAA 2005»
14 years 1 months ago
Mining Succinct Systems of Minimal Generators of Formal Concepts
Formal concept analysis has become an active field of study for data analysis and knowledge discovery. A formal concept C is determined by its extent (the set of objects that fall...
Guozhu Dong, Chunyu Jiang, Jian Pei, Jinyan Li, Li...
CLA
2006
13 years 9 months ago
An Algorithm to Find Frequent Concepts of a Formal Context with Taxonomy
Formal Concept Analysis (FCA) considers attributes as a non-ordered set. This is appropriate when the data set is not structured. When an attribute taxonomy exists, existing techni...
Peggy Cellier, Sébastien Ferré, Oliv...
EUSFLAT
2009
181views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Fuzzy Concept Lattice is Made by Proto-Fuzzy Concepts
Abstract-- An L-fuzzy context is a triple consisting of a set of objects, a set of attributes and an L-fuzzy binary relation between them. An l-cut is a classical context over the ...
Ondrej Kridlo, Stanislav Krajci