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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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
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