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» Supporting Fuzzy Rough Sets in Fuzzy Description Logics
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TFS
2011
194views Education» more  TFS 2011»
13 years 2 months ago
Top-Down Induction of Fuzzy Pattern Trees
Fuzzy pattern tree induction was recently introduced as a novel machine learning method for classification. Roughly speaking, a pattern tree is a hierarchical, tree-like structur...
R. Senge, Eyke Hüllermeier
SIVP
2008
127views more  SIVP 2008»
13 years 7 months ago
Image indexing and retrieval using expressive fuzzy description logics
Abstract The effective management and exploitation of multimedia documents requires the extraction of the underlying semantics. Multimedia analysis algorithms can produce fairly ri...
Nikos Simou, Thanos Athanasiadis, Giorgos Stoilos,...
DLOG
2008
13 years 9 months ago
Classifying Fuzzy Subsumption in Fuzzy-EL+
Abstract. Fuzzy Description Logics (f-DLs) have been proposed as extensions of classical Description Logics able to handle imprecise and vague knowledge. Although several extension...
Giorgos Stoilos, Giorgos B. Stamou, Jeff Z. Pan
FUZZIEEE
2007
IEEE
14 years 1 months ago
Distance Measure Assisted Rough Set Feature Selection
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
Neil MacParthalain, Qiang Shen, Richard Jensen
ECSQARU
2009
Springer
13 years 11 months ago
Different Representations of Fuzzy Vectors
Fuzzy vectors were introduced as a description of imprecise quantities whose uncertainty originates from vagueness, not from a probabilistic model. Support functions are a classica...
Jiuzhen Liang, Mirko Navara, Thomas Vetterlein