Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)
Session: S8: On-Line Fuzzy Modelling and Pattern Recognition
4 articles
Proceedings Article
All-Pairs Evolving Fuzzy Classifiers for On-line Multi-Class Classification Problems
Edwin Lughofer
In this paper, we propose a novel design of evolving fuzzy classifiers in case of multi-class classification problems. Therefore, we exploit the concept of all-pairs aka all-versus-all classification using binary classifiers for each pair of classes, which has some advantages over direct multi-class...
Proceedings Article
On-line Redundancy Elimination in Evolving Fuzzy Regression Models using a Fuzzy Inclusion Measure
Edwin Lughofer, Eyke Hüllermeier
This paper tackles the problem of complexity reduction in evolving fuzzy regression models of the Takagi-Sugeno type. The incremental model adaptation process used to evolve such models over time, often produces redundancies such as overlapping rule antecedents. We propose the use of a fuzzy inclusion...
Proceedings Article
Incorporating Dynamic Uncertainties into a Fuzzy Classifier
Jens Hülsmann, Andreas Buschermohle, Werner Brockmann
Dealing with classification problems in practice often has to cope with uncertain information, either in the training or in the operation phase or both. Modeling these uncertainties allows to enhance the robustness or performance of the classifier. In this paper we focus on the operation phase and present...
Proceedings Article
Learning in dynamic environments: application to the diagnosis of evolving systems
Moamar Sayed-Mouchaweh, Omar Ayad, Noureddine Malki
In dynamic environments, data characteristics may drift over time. This leads to deteriorate dramatically the performance of incremental learning algorithms over time. This is because of the use of data which is no more consistent with the characteristics of new incoming one. In this paper, an approach...