The paper presents an application of rough sets and statistical methods to feature reduction and pattern recognition. The presented description of rough sets theory emphasizes the role of rough sets reducts in feature selection and data reduction in pattern recognition. The overview of methods of feature selection emphasizes feature selection criteria, including rough set-based methods. The pap...

The aim of this paper is to develop an optimum design method for roof shapes that satisfy both aesthetic and dynamic conditions by using the rough sets theory. This optimum system consists of the KANSEI evaluation system and the shape evaluation system. In the KANSEI evaluation system, the KANSEI questionnaire system is executed first, and the obtained KANSEI evaluation values are used as KANSE...

Neural networks is considered the most powerful classifier and rough set theory is thought of the best to reduce attributes and to generate rules. The combination of neural networks and rough set is very useful for knowledge acquires. Integrating of the advantages of two approaches and having solved the data continuous problem, this paper presents a hybrid method to extract classification rules...

This paper describes the application of rough sets and neural network models for classification of electroencephalogram (EEG) signals from two patient classes: normal and epileptic. First, the wavelet transform (WT) was applied to the EEG time series in order to reduce the dimensionality and highlight important features in the data. Statistical measures of the resulting wavelet coefficients wer...

The paper compares two types of classifiers in a hybrid opto-electronic pattern recognition system. The first type is rough set based classifier operating is highly discretized feature space. This is the consequence of the granular nature of knowledge representation in the theory of rough sets. The second type is artificial neural network, which processes information taken from continuous featu...

The multisensor information fusion is a key issue for multisensor system. One of its difficulties lies in the switching of the state of sensor clusters. That is, which direction should the sensor information been fused into at a given moment? An algorithm of multisensor information fusion based on rough set and neural network was proposed in this paper. Firstly, the typical clustering distribut...