On-line Valuation of Residential Premises with Evolving Fuzzy Models

Edwin Lughofer; Bogdan Trawinski; Krzysztof Trawinski; Tadeusz Lasota

doi:10.1007/978-3-642-21219-2_15

On-line Valuation of Residential Premises with Evolving Fuzzy Models

Edwin Lughofer, Bogdan Trawinski, Krzysztof Trawinski, Tadeusz Lasota

Institute for Mathematical Methods in Medicine and Data Based Modeling

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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 (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.

Original language	English
Title of host publication	Proceedings of the Hybrid Artificial Intelligence Systems Conference, HAIS 2011
Pages	107-115
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-642-21219-2_15
Publication status	Published - 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6678 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Fields of science

101001 Algebra
101 Mathematics
102 Computer Sciences
101013 Mathematical logic
101020 Technical mathematics
102001 Artificial intelligence
102003 Image processing
202027 Mechatronics
101019 Stochastics
211913 Quality assurance

JKU Focus areas

Computation in Informatics and Mathematics
Mechatronics and Information Processing
Nano-, Bio- and Polymer-Systems: From Structure to Function

Access to Document

10.1007/978-3-642-21219-2_15

Cite this

Lughofer, E., Trawinski, B., Trawinski, K., & Lasota, T. (2011). On-line Valuation of Residential Premises with Evolving Fuzzy Models. In Proceedings of the Hybrid Artificial Intelligence Systems Conference, HAIS 2011 (pp. 107-115). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6678 LNAI, No. PART 1). https://doi.org/10.1007/978-3-642-21219-2_15

Lughofer, Edwin ; Trawinski, Bogdan ; Trawinski, Krzysztof et al. / On-line Valuation of Residential Premises with Evolving Fuzzy Models. Proceedings of the Hybrid Artificial Intelligence Systems Conference, HAIS 2011. 2011. pp. 107-115 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "On-line Valuation of Residential Premises with Evolving Fuzzy Models",

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 (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.",

author = "Edwin Lughofer and Bogdan Trawinski and Krzysztof Trawinski and Tadeusz Lasota",

year = "2011",

doi = "10.1007/978-3-642-21219-2\_15",

language = "English",

isbn = "9783642212185",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "107--115",

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Lughofer, E, Trawinski, B, Trawinski, K & Lasota, T 2011, On-line Valuation of Residential Premises with Evolving Fuzzy Models. in Proceedings of the Hybrid Artificial Intelligence Systems Conference, HAIS 2011. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6678 LNAI, pp. 107-115. https://doi.org/10.1007/978-3-642-21219-2_15

On-line Valuation of Residential Premises with Evolving Fuzzy Models. / Lughofer, Edwin; Trawinski, Bogdan; Trawinski, Krzysztof et al.
Proceedings of the Hybrid Artificial Intelligence Systems Conference, HAIS 2011. 2011. p. 107-115 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6678 LNAI, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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Lughofer E, Trawinski B, Trawinski K, Lasota T. On-line Valuation of Residential Premises with Evolving Fuzzy Models. In Proceedings of the Hybrid Artificial Intelligence Systems Conference, HAIS 2011. 2011. p. 107-115. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-21219-2_15

On-line Valuation of Residential Premises with Evolving Fuzzy Models

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