36 search results - page 1 / 8 » Exploiting Upper Approximation in the Rough Set Methodology |
KDD
1995
ACM
13 years 8 months ago
1995
ACM
RSKT
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Decision-theoretic rough set models are a probabilistic extension of the algebraic rough set model. The required parameters for defining probabilistic lower and upper ap...
ISMIS
2000
Springer
13 years 8 months ago
2000
Springer
This paper introduces the design of rough neurons based on rough sets. Rough neurons instantiate approximate reasoning in assessing knowledge gleaned from input data. Each neuron c...
RSCTC
2000
Springer
13 years 8 months ago
2000
Springer
This paper introduces a neural network architecture based on rough sets and rough membership functions. The neurons of such networks instantiate approximate reasoning in assessing ...
RSKT
2010
Springer
13 years 3 months ago
2010
Springer
Traditionally, membership to the fuzzy-rough lower, resp. upper approximation is determined by looking only at the worst, resp. best performing object. Consequently, when applied t...