Name
Title | ||
|---|---|---|
Evolving fuzzy systems based on the eTS learning algorithm for the valuation of residential premises |
Abstract | ||
|---|---|---|
An attempt has been made to employ evolving Takagi-Sugeno algorithm (eTS) to built models assisting property valuation on the basis of actual data drawn from cadastral system, registry of sales transactions, and a cadastral map. Seven methods of feature selection were applied an evaluated. The eTS performance was compared to three algorithms implemented in KEEL, including decision trees for regression, neural network, and support vector machine. The results confirmed the advantages of the eTS algorithm. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04394-9_72 | IDEAL |
Keywords | Field | DocType |
feature selection,actual data,ets algorithm,cadastral map,takagi-sugeno algorithm,fuzzy system,neural network,property valuation,ets performance,decision tree,cadastral system,residential premise,support vector machine | Decision tree,Data mining,Feature selection,Computer science,Artificial intelligence,Fuzzy control system,Artificial neural network,Valuation (finance),Regression,Cadastre,Support vector machine,Algorithm,Machine learning | Conference |
Volume | ISSN | ISBN |
5788 | 0302-9743 | 3-642-04393-3 |
Citations | PageRank | References |
1 | 0.37 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tadeusz Lasota | 1 | 348 | 25.33 |
| Zbigniew Telec | 2 | 170 | 14.92 |
| Bogdan Trawiński | 3 | 288 | 24.72 |
| Krzysztof Trawiński | 4 | 247 | 16.06 |