Investigation of Fuzzy Models for the Valuation of Residential Premises Using the KEEL Tool

Authors:
Tadeusz Lasota;Jacek Mazurkiewicz;Bogdan Trawinski;Krzysztof Trawinski
Affiliations:
-;-;-;-
Venue:
HIS '08 Proceedings of the 2008 8th International Conference on Hybrid Intelligent Systems
Year:
2008

Citing 0
Cited 2

Concept of a Multi-Agent System for Assisting in Real Estate Appraisals

KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Comparison of data driven models for the valuation of residential premises using KEEL

International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models

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Abstract

A series of experiments aimed to generate and learn fuzzy models for the valuation of residential premises was conducted using the KEEL tool (Knowledge Extraction based on Evolutionary Learning). Four regression and four post-processing algorithms were applied to several data sets. They referred to sales/purchase transactions of residential premises, which were derived from the cadastral system and the registry of real estate transactions. The results proved the usefulness of the tool to carry out laborious and tedious investigation in a relatively short time. Further research is needed to determine to what extent data coming from such sources allow to build the real estate valuation models.