Comparison of mamdani and TSK fuzzy models for real estate appraisal

Authors:
Dariusz Król;Tadeusz Lasota;Bogdan Trawiński;Krzysztof Trawiński
Affiliations:
Wrocław University of Technology, Institute of Applied Informatics, Wrocław, Poland;Agricultural University of Wrocław, Faculty of Environmental Engineering and Geodesy, Wroclaw, Poland;Wrocław University of Technology, Institute of Applied Informatics, Wrocław, Poland;Wrocław University of Technology, Institute of Applied Informatics, Wrocław, Poland
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
Year:
2007

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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.