This paper compares recognition methods for two Old Slavic Cyrillic alphabets: Macedonian and Bosnian. Two novel methodologies for recognition of Old Macedonian letters are already implemented and experimentally tested by calculating their recognition accuracy and precision. The first method is based on a decision tree classifier realized by a set of rules and the second one is based on a fuzzy...

In a preceding contribution, we conducted a study considering a fuzzy multiclassifier system (MCS) design framework based on Fuzzy Unordered Rule Induction Algorithm (FURIA). It served as the fuzzy rule classification learning algorithm to derive the component classifiers considering bagging and feature selection. In this work, we integrate this approach under the overproduce-and-choose strateg...

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...

This paper proposes a systematic approach for designing a multistage fuzzy logic controller (MFLC) for large scale nonlinear systems. In designing such a controller, the major tasks are to derive fuzzy rule bases, determine membership functions of input/output variables, and design input/output scaling factors. In this work, the fuzzy rule bases are generated by rule-generated functions which a...

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...