… In this paper it is pointed out that a classification is always made taking into … of a classification
system. The approach presented in this paper generalizes the classical definition of fuzzy …

… problem for constructing a compact fuzzy classification system as a combinatorial optimization
… a fuzzy classification system of fuzzy rules in a fine fuzzy partition, a large number of fuzzy …

… Fuzzy Rule-Based Systems have been succesfully applied to pattern classification
problems. In this type of classification systems, the classical Fuzzy Reasoning Method (FRM) …

… classification problems. That is, we can get a high performance classification system with a
coarse fuzzy … construct a compact classification system with a small number of fuzzy rules. We …

… of fuzzy rule-based classification systems from labeled data. The classification accuracy
and interpretability of generated rules are of major importance in fuzzy classification systems. …

… Each fuzzy IF–THEN rule in our classification system has antecedent linguistic values and a
… We use a fuzzy reasoning method based on a single winner rule in the classification phase. …

… to combine fuzzy rules from fuzzy systems being members of classification ensemble. We
build ensembles of various neuro-fuzzy systems with certain modifications to let the fuzzy rule …

… the systems that have more inputs (since we previously considered fuzzy systems with only
a single input), so that eventually there were three fuzzy systems which are defined below. …

… of fuzzy rules and the way to combine fuzzy rules, a fuzzy rule-based classification system …
In this paper, we consider the additive fuzzy rule-based classification systems (or in short fuzzy …

… pattern classification to select a fuzzy classification system … of fuzzy rules so that the number
of incorrectly classified … a fuzzy classification system for an M-class classification problem. …