Paper Info
Title
Investigation of Fuzzy Models for the Valuation of Residential Premises Using the KEEL Tool
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.
Year
DOI
Venue
2008
10.1109/HIS.2008.78
HIS
Keywords
Field
DocType
fuzzy model,extent data,knowledge extraction,real estate valuation model,keel tool,cadastral system,real estate transaction,fuzzy models,evolutionary learning,residential premise,real estate,data mining,learning artificial intelligence,algorithm design and analysis,cost accounting,data models,fuzzy set theory,evolutionary computation,tuning,regression analysis
Data modeling,Real estate,Cadastre,Computer science,Fuzzy logic,Operations research,Fuzzy set,Knowledge extraction,Artificial intelligence,Valuation (finance),Knowledge acquisition,Machine learning
Conference
Citations 
PageRank 
References 
3
0.42
18
Authors
4
Name
Order
Citations
PageRank
Tadeusz Lasota134825.33
Jacek Mazurkiewicz212223.38
Bogdan Trawinski311512.89
Krzysztof Trawiński424716.06