27 search results - page 2 / 6 » Learning Fuzzy Linguistic Models from Low Quality Data by Ge... |
TFS
2008
13 years 5 months ago
2008
Abstract--In this paper, we introduce a novel approach to timeseries prediction realized both at the linguistic and numerical level. It exploits fuzzy cognitive maps (FCMs) along w...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
FSS
2010
13 years 3 months ago
2010
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
ENC
2004
IEEE
13 years 9 months ago
2004
IEEE
A method to induce bayesian networks from data to overcome some limitations of other learning algorithms is proposed. One of the main features of this method is a metric to evalua...
EUSFLAT
2009
13 years 3 months ago
2009
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...