An introduction to variable and feature selection
The Journal of Machine Learning Research
Hybrid learning models to get the interpretability–accuracy trade-off in fuzzy modeling
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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
A two-stage evolutionary process for designing TSK fuzzy rule-basedsystems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A proposal for improving the accuracy of linguistic modeling
IEEE Transactions on Fuzzy Systems
An Attempt to Use the KEEL Tool to Evaluate Fuzzy Models for Real Estate Appraisal
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information 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
Comparative Analysis of Regression Tree Models for Premises Valuation Using Statistica Data Miner
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Comparative Analysis of Premises Valuation Models Using KEEL, RapidMiner, and WEKA
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Comparative Analysis of Evolutionary Fuzzy Models for Premises Valuation Using KEEL
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Comparison of data driven models for the valuation of residential premises using KEEL
International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Evolving fuzzy systems based on the eTS learning algorithm for the valuation of residential premises
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Analysis of bagging ensembles of fuzzy models for premises valuation
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Comparison of bagging, boosting and stacking ensembles applied to real estate appraisal
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Empirical comparison of bagging ensembles created using weak learners for a regression problem
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Investigation of genetic algorithms with self-adaptive crossover, mutation, and selection
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
Empirical comparison of resampling methods using genetic neural networks for a regression problem
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Investigation of evolving fuzzy systems methods FLEXFIS and eTS on predicting residential prices
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Empirical comparison of resampling methods using genetic fuzzy systems for a regression problem
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
Investigation of random subspace and random forest methods applied to property valuation data
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Investigation of self-adapting genetic algorithms using some multimodal benchmark functions
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Investigation of rotation forest method applied to property price prediction
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
An attempt to employ genetic fuzzy systems to predict from a data stream of premises transactions
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
An analysis of change trends by predicting from a data stream using genetic fuzzy systems
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Investigation of incremental support vector regression applied to real estate appraisal
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
Investigation of random subspace and random forest regression models using data with injected noise
KES'12 Proceedings of the 16th international conference on Knowledge Engineering, Machine Learning and Lattice Computing with Applications
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Takagi-Sugeno-Kang fuzzy model to assist with real estate appraisals is described and optimized using evolutionary algorithms. Two approaches were compared in the paper. The first one consisted in learning the rule base and the second one in combining learning the rule base and tuning the membership functions in one process. Moreover two model variants with three and five triangular and trapezoidal membership functions describing each input variable were tested. Several TSK fuzzy models comprising different number of input variables were evaluated using the MATLAB. The evolutionary algorithms were based on Pittsburgh approach with the real coded chromosomes of constant length comprising whole rule base or both the rule base and all parameters of all membership functions. The experiments were conducted using training and testing sets prepared on the basis of actual 150 sales transactions made in one of Polish cities and located in a residential section. The results obtained were not decisive and further research in this area is needed.