The issue of rule generalization has received a great deal of attention in the discrete-valued learning classifier system field. In particular, the accuracy based XCS is the subject of extensive ongoing research. However, the same issue does not appear to have received a similar level of attention in the case of the fuzzy classifier system. This may be due to the difficulty in extending the dis...

Problem statement: Computer networks are expanding at very fast rate and the number of network users is increasing day by day, for full utilization of networks it need to be secured against many threats including malware, which is harmful software with the capability to damage data and systems. Fuzzy rule based classification systems considered as an active research area in recent years, due to...

Location-aware services using data mining techniques are recent research topics where rules from the data are extracted to provide interesting information. In addition, multi-agent systems are applied in location-based service for autonomous interaction of the system. Different data mining techniques are applied for knowledge discovery from location-based services. However, wireless environment...

Many Fuzzy classifiers have been developed to identify the handwritten gestures. Handwritten gestures various from person-to-person and with mood and time .Since these rulebased classifiers which are incremental in nature, a large number of rules are generated for unseen inputs.Thus, the size of the rule base rises exponentially ,further introducing rule overfitting and misclassification error....

Microarray studies and gene expression analysis have received a lot of attention and provide many promising avenues towards the understanding of fundamental questions in biology and medicine. In this paper, the authors perform gene expression analysis and apply two hybrid GA-fuzzy approaches to classify gene expression data. Both are based on fuzzy if-then rule bases but they differ in the way ...

Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...

Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...

Fuzzy Classifiers are an powerful class of fuzzy systems. Evolving fuzzy classifiers from numerical data has assumed lot of remarks in the recent past. This paper proposes a method of evolving fuzzy classifiers using a three step technique. In the first step, a modified Fuzzy C–Means Clustering technique is applied to generate membership functions. In the next step, rule base are generated usin...

Rule-based classifier, that extract a subset of induced rules to efficiently learn/mine while preserving the discernibility information, plays crucial role in human-explainable artificial intelligence. However, this era big data, rule induction on whole datasets is computationally intensive. So far, best our knowledge, no known method focusing accelerating has been reported. This first study co...

An iterative method to select suitable features in an industrial fabric defect recognition context is proposed in this paper. It combines a global feature selection method based on the Choquet integral and a fuzzy linguistic rule classifier. The experimental study shows the wanted behaviour of this approach: the feature number decreases whereas the recognition rate increases. Thus, the number o...