On-line Valuation of Residential Premises with Evolving Fuzzy Models

Beschreibung

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 (achieved through fuzzy sets and fuzzy rule bases). We use the FLEXFIS approach as learning engine for evolving fuzzy (regression) models, exploiting the Takagi-Sugeno fuzzy model architecture. The comparison with state-of-the-art expert-based premise estimation was based on a real-world data set including prices for residential premises within the years 1998 to 2008, and showed that FLEXFIS was able to out-perform expert-based method.

Zeitraum	23 Mai 2011
Ereignistitel	Hybrid Artificial Intelligence Systems Conference, HAIS 2011
Veranstaltungstyp	Konferenz
Ort	PolenAuf Karte anzeigen