Systems modelling on the basis of rough and rough-fuzzy approach

  • Authors:

  • Jirava Pavel;Křupka Jiří;Kašparová Miroslava

  • 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;Institute of System Engineering and Informatics, Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic

  • Venue:
  • WSEAS Transactions on Information Science and Applications
  • Year:
  • 2008

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Abstract

In this paper the modelling of the information, economic and social systems is presented. The models are based on the rough sets theory, and the fuzzy and rough sets theory. These models have represented two real information systems, and a system of an internal human population migration. The information systems are represented as a table where every column represents an attribute (a variable, a property). This attribute can be measured or may also be supplied by a human expert. To obtain the necessary data questionnaires were use. To the migration model selected socioeconomic data, indicators, are applied. 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 the migration models creation phase we deal with a new design of membership function shapes and rule base definition. The classifier models were carried out in MATLAB. Performed experiments have proven the accuracy of the proposed approach.