215 search results - page 4 / 43 » Indeterminacy and Rough Approximation |
PREMI
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
IJAR
2008
13 years 6 months ago
2008
This paper reviews probabilistic approaches to rough sets in granulation, approximation, and rule induction. The Shannon entropy function is used to quantitatively characterize pa...
GRAPHICSINTERFACE
1998
13 years 7 months ago
1998
Fractal functions are explored as a representation for rough data in computer graphics. Two new techniques for using fractal interpolation functions to approximate rough functions...
TSMC
2010
13 years 25 days ago
2010
The original rough-set model is primarily concerned with the approximations of sets described by a single equivalence relation on a given universe. With granular computing point of...
ASIAMS
2007
IEEE
14 years 15 days ago
2007
IEEE
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...