301 search results - page 8 / 61 » Probabilistic rough set approximations |
FSKD
2007
Springer
14 years 1 months ago
2007
Springer
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
ASIAMS
2007
IEEE
14 years 1 months 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...
ISCI
1998
13 years 7 months ago
1998
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
FUIN
2002
13 years 7 months ago
2002
In this paper we focus upon a comparison of some generalized rough approximations of sets, where the classical indiscernibility relation is generalized to any binary reflexive rela...
AI
1998
Springer
13 years 7 months ago
1998
Springer
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...