EUSFLAT
2009
13 years 9 months ago
2009
Abstract-- We describe an automatic approach for evaluating interpretability of fuzzy rule-based classifiers. The approach is based on the logical view of fuzzy rules, which are in...
EUSFLAT
2009
13 years 9 months ago
2009
The study of human behavior during driving is of primary importance for the improvement of drivers' security. This study is complex because of numerous situations in which the...
TFS
2008
13 years 10 months ago
2008
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
TFS
2008
13 years 11 months ago
2008
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
TSMC
2002
13 years 11 months ago
2002
By exploiting the Fourier series expansion, we have developed a new constructive method of automatically generating a multivariable fuzzy inference system from any given sample set...
KES
2006
Springer
13 years 11 months ago
2006
Springer
In this paper, in order to reduce the explosive increase of the search space as the input dimension grows, we present a new representation method for the structure of fuzzy rules, ...
JIFS
2008
13 years 11 months ago
2008
IJAR
2006
13 years 11 months ago
2006
A method to extract a fuzzy rule based system from a trained artificial neural network for classification is presented. The fuzzy system obtained is equivalent to the correspondin...
FSS
2006
13 years 11 months ago
2006
In this paper, a Sequential Adaptive Fuzzy Inference System called SAFIS is developed based on the functional equivalence between a radial basis function network and a fuzzy infer...
EUSFLAT
2003
14 years 27 days ago
2003
Fuzzy inference process usually involves the use of fuzzy rule base consisting in several fuzzy rules. Overall output can be obtained by aggregation of outputs of all rules. To ob...