Classification model based on rough and fuzzy sets theory

Authors:
Jirava Pavel;Křupka Jiří
Affiliations:
Institute of System Engineering and Informatics, Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic;Institute of System Engineering and Informatics, Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic
Venue:
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Year:
2007

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Abstract

The paper reflects the trend of the past years which is based on the diffusion of various traditional approaches and methods to the way of tackling new problems. Two components of the computational intelligence are applied in a classification model. It means rough and fuzzy sets on the basis of which the data classification hybrid model is proposed. It even allows operating with uncertainty data. This model is carried out in MATLAB, and tested on more data files, and compared to others, already known classification methods.