Investigation of Evolving Fuzzy Systems Methods FLEXFIS and eTS on Predicting Residential Prices

  • Bogdan Trawiński
  • Krzysztof Trawiński
  • Edwin Lughofer
  • Tadeusz Lasota
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6857)


In this paper, we investigate on-line fuzzy modeling for predicting the prices of residential premises using the concept of evolving fuzzy models. These combine the aspects of incrementally updating the parameters and expanding the inner structure on demand with the concepts of uncertainty modeling in a possibilistic and linguistic manner (via fuzzy sets and fuzzy rule bases). The FLEXFIS and eTS approaches are evolving fuzzy models used to compare with an expert-based property valuating method as well as with a classic genetic fuzzy system. We use a real-world dataset taken from a cadastral system for that comparison.


Root Mean Square Error Real Estate Geographic Information System Fuzzy System Fuzzy Model 
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© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Bogdan Trawiński
    • 1
  • Krzysztof Trawiński
    • 2
  • Edwin Lughofer
    • 3
  • Tadeusz Lasota
    • 4
  1. 1.Institute of InformaticsWrocław University of TechnologyWrocławPoland
  2. 2.European Centre for Soft ComputingEdificio Científico-TecnológicoMieresSpain
  3. 3.Department of Knowledge-based Mathematical SystemsJohannes Kepler University LinzLinzAustria
  4. 4.Dept. of Spatial ManagementWrocław University of Environmental and Life SciencesWrocławPoland

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