Paper Info
Title
Investigation of evolving fuzzy systems methods FLEXFIS and eTS on predicting residential prices
Abstract
In this paper, we investigate on-line fuzzy modeling for predicting the prices of residential premises using the concept of evolving fuzzy models. These combine the aspects of incrementally updating the parameters and expanding the inner structure on demand with the concepts of uncertainty modeling in a possibilistic and linguistic manner (via fuzzy sets and fuzzy rule bases). The FLEXFIS and eTS approaches are evolving fuzzy models used to compare with an expert-based property valuating method as well as with a classic genetic fuzzy system. We use a real-world dataset taken from a cadastral system for that comparison.
Year
DOI
Venue
2011
10.1007/978-3-642-23713-3_16
WILF
Keywords
Field
DocType
fuzzy model,fuzzy set,fuzzy systems method,expert-based property,fuzzy rule base,classic genetic fuzzy system,uncertainty modeling,cadastral system,inner structure,residential price,ets approach,on-line fuzzy modeling
Data mining,Geographic information system,Real estate,Neuro-fuzzy,Cadastre,Computer science,Fuzzy logic,Fuzzy set,Artificial intelligence,Fuzzy control system,Machine learning,Fuzzy rule
Conference
Citations 
PageRank 
References 
0
0.34
17
Authors
4
Name
Order
Citations
PageRank
Bogdan Trawiński128824.72
Krzysztof Trawiński224716.06
Edwin Lughofer3194099.72
Tadeusz Lasota434825.33