Modelling of web domain visits by IF-inference system

  • Authors:
  • Vladimír Olej;Petr Hájek;Jana Filipová

  • 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 Computers
  • Year:
  • 2010

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Abstract

This paper presents basic notions of web mining and fuzzy inference systems based on the Takagi-Sugeno fuzzy model. On the basis of this fuzzy inference system and IF-sets introduced by K.T. Atanassov novel IF-inference systems can be designed. Thus, an IF-inference system is developed for time series prediction. In the next part of the paper we describe web domain visits prediction by IF-inference systems and the analysis of the results.