Evolving fuzzy rule based controllers using genetic algorithms
Fuzzy Sets and Systems
A random sets-based method for identifying fuzzy models
Fuzzy Sets and Systems
Case-based reasoning and neural networks for real state valuation
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Investigation of evolutionary optimization methods of TSK fuzzy model for real estate appraisal
International Journal of Hybrid Intelligent Systems - Recent Advances in Intelligent Paradigms Fusion and Their Applications
KEEL: a software tool to assess evolutionary algorithms for data mining problems
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Evolutionary and Metaheuristics based Data Mining (EMBDM); Guest Editors: José A. Gámez, María J. del Jesús, José M. Puerta
Fuzzy system model to assist with real estate appraisals
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Comparison of mamdani and TSK fuzzy models for real estate appraisal
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
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
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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Fuzzy models to assist with real estate appraisals are described and previous experiments on optimizing them with evolutionary algorithms implemented in MATLAB are summarized. An approach was made to use the KEEL Tool, developed in Java by a group of Spanish research centres, to investigate the models. Five fuzzy models comprising 3 or 4 input variables referring to the attributes of a property were learned and evaluated using six regression algorithms for fuzzy rule based systems implemented in the KEEL Tool. The experiments were conducted using a data set prepared on the basis of actual 134 sales transactions made in one of Polish cities and located in a residential section. The results were encouraging. The KEEL Tool has proved to be very useful and effective research tool, especially thanks to its 10-fold cross validation mechanism and relatively short time of data processing.