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EUSFLAT
2009
135views Fuzzy Logic» more  EUSFLAT 2009»
8 years 6 months ago
A Logic-Based Approach for Evaluating Interpretability of Fuzzy Rule-Based Classifiers
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...
Corrado Mencar, Ciro Castiello, Anna Maria Fanelli
EUSFLAT
2009
152views Fuzzy Logic» more  EUSFLAT 2009»
8 years 6 months ago
Fuzzy and PSO Based Algorithm for Driver's Behavior Modeling
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...
Sohrab Khanmohammadi, Mohammad Ali Tinati, Sehrane...
TFS
2008
129views more  TFS 2008»
8 years 6 months ago
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
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...
Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin
TFS
2008
157views more  TFS 2008»
8 years 7 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
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...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
TSMC
2002
112views more  TSMC 2002»
8 years 7 months ago
An efficient algorithm for automatically generating multivariable fuzzy systems by Fourier series method
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...
Liang Chen, Naoyuki Tokuda
KES
2006
Springer
8 years 8 months ago
Genetic-Fuzzy Modeling on High Dimensional Spaces
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, ...
Joon-Min Gil, SeongHoon Lee
IJAR
2006
133views more  IJAR 2006»
8 years 8 months ago
Extraction of similarity based fuzzy rules from artificial neural networks
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...
Carlos Javier Mantas, José Manuel Puche, J....
FSS
2006
154views more  FSS 2006»
8 years 8 months ago
Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction
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...
Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, P....
EUSFLAT
2003
8 years 9 months ago
The role and properties of rule relevancy in fuzzy inference process
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...
Michal Sabo
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