Comparative Analysis of Evolutionary Fuzzy Models for Premises Valuation Using KEEL

  • Authors:
  • Marek Krzystanek;Tadeusz Lasota;Bogdan Trawiński

  • Affiliations:
  • Institute of Informatics, Wrocław University of Technology, Wrocław, Poland 50-370;Dept. of Spatial Management, Wrocław University of Environmental and Life Sciences, Wroclaw, Poland 50-375;Institute of Informatics, Wrocław University of Technology, Wrocław, Poland 50-370

  • Venue:
  • ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
  • Year:
  • 2009

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Abstract

The experiments aimed to compare evolutionary fuzzy algorithms to create models for the valuation of residential premises were conducted using KEEL. Out of 20 algorithms divided into 5 groups to final comparison five best were selected. All models were applied to actual data sets derived from the cadastral system and the registry of real estate transactions. A dozen of predictive accuracy measures were employed. Although statistical tests were not decisive, final evaluation of models could be done on the basis of the measures used.