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Comparative Analysis of Evolutionary Fuzzy Models for Premises Valuation Using KEEL

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5796))

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.

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© 2009 Springer-Verlag Berlin Heidelberg

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Krzystanek, M., Lasota, T., Trawiński, B. (2009). Comparative Analysis of Evolutionary Fuzzy Models for Premises Valuation Using KEEL. In: Nguyen, N.T., Kowalczyk, R., Chen, SM. (eds) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. ICCCI 2009. Lecture Notes in Computer Science(), vol 5796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04441-0_73

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  • DOI: https://doi.org/10.1007/978-3-642-04441-0_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04440-3

  • Online ISBN: 978-3-642-04441-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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