Hybrid Approach for Modelling of Internal Human Population Migration Classifiers

M. Kaparov, P. Jirava, and J. Křupka (Czech Republic)


Internal human migration, data pre-processing, fuzzy inference system, and rough sets theory


A modelling of classifiers based on fuzzy inference systems and rough sets for a model of an economic and social system is presented in this paper. This system has represented an internal human population migration model by an application of selected socioeconomic data. Economic and demographic indicators that affect size of migration for districts in the Czech Republic are defined. In data pre-processing we focused on different processing of data inputs. It means for all indicators we used selected data discretization techniques. In models creation phase we deal with a new design of membership function shapes and rule base definition.

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