Classification models analysis of internal human population migration in districts

Authors:
Křupka Jiří;Kašparová Miloslava
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'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Year:
2006

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Abstract

The paper presents a design and an analysis of classifiers for modelling of internal human migration in districts. Classification models are realized by means of supervised methods. Fuzzy inference systems and a hierarchical structure of fuzzy inference system seem to be preferable in terms of modelling. This hierarchical structure can be realized for a great number of fuzzy rules effectively. The population migration is solved for districts in the Czech Republic. Economic and demographic indicators that affect a size of migration are defined. Dependences between indicators are searched by correlation analysis.