Paper Info
Title
Investigation of the eTS Evolving Fuzzy Systems Applied to Real Estate Appraisal.
Abstract
The evolving Takagi-Sugeno algorithm (eTS) was employed to built models assisting with property valuation on the basis of real-world data drawn from a cadastral system, registry of sales transactions, and cadastral map. The eTS performance was compared with evolutionary fuzzy systems implemented in KEEL. Statistical analysis of the results was performed using nonparametric tests followed by post hoc procedures designed for multiple comparisons. The results confirmed the advantages of the eTS algorithm.
Year
Venue
Keywords
2011
JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING
Evolving fuzzy systems,eTS learning algorithm,property valuation,feature selection,GIS,KEEL
Field
DocType
Volume
Real estate appraisal,Cadastre,Computer science,Multiple comparisons problem,Nonparametric statistics,Artificial intelligence,Fuzzy control system,Valuation (finance),Machine learning,Statistical analysis
Journal
17
Issue
ISSN
Citations 
SP2-3
1542-3980
17
PageRank 
References 
Authors
0.66
16
4
Name
Order
Citations
PageRank
Tadeusz Lasota134825.33
Zbigniew Telec217014.92
Bogdan Trawinski311512.89
Krzysztof Trawiński424716.06