Abstract
Two fuzzy models for real estate appraisal, i.e. Mamdani-type and Takagi-Sugeno-Kang-type have been built with the aid of experts. Both models comprised 7 input variables referring to main attributes of a property being appraised. In order to determine the rule bases for both models an evolutionary algorithm has been applied. The experiments revealed that models assured acceptable estimations of property values. © Springer-Verlag Berlin Heidelberg 2007.
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Król, D., Lasota, T., Trawiński, B., & Trawiński, K. (2007). Comparison of mamdani and TSK fuzzy models for real estate appraisal. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4694 LNAI, pp. 1008–1015). Springer Verlag. https://doi.org/10.1007/978-3-540-74829-8_123
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