501 search results - page 30 / 101 » Rough Sets |
PREMI
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
GRC
2007
IEEE
14 years 2 months ago
2007
IEEE
The original rough set model is concerned primarily with the approximation of sets described by single binary relation on the universe. In the view of granular computing, classica...
RSKT
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. A fundamental data modeling problem in geographical information systems and spatial database systems refers to an appropriate treatment of the vagueness or indeterminacy ...
APIN
2004
13 years 7 months ago
2004
A rough self-organizing map (RSOM) with fuzzy discretization of feature space is described here. Discernibility reducts obtained using rough set theory are used to extract domain k...
FUZZIEEE
2007
IEEE
14 years 2 months ago
2007
IEEE
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...