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A Multi-Agent System to Assist with Property Valuation Using Heterogeneous Ensembles of Fuzzy Models

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Book cover Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6070))

Abstract

The multi-agent system for real estate appraisals MAREA was extended to include aggregating agents, which are equipped with heuristic optimization algorithms and can create heterogeneous ensemble models, was presented in the paper. The major part of the study was devoted to investigate the predictive accuracy of heterogeneous ensembles comprising fuzzy models and to compare them with homogenous bagging ensembles. Six optimization heuristics including genetic, tabu search, simulated annealing, minimum average and random algorithms were implemented and applied to obtain the best ensembles for different number of fuzzy models.

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Author information

Authors and Affiliations

  1. Institute of Informatics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Magdalena Graczyk, Zbigniew Telec & Bogdan Trawiński

  2. Dept. of Spatial Management, Wrocław University of Environmental and Life Sciences, Ul. Norwida 25/27, 50-375, Wroclaw, Poland

    Tadeusz Lasota

Authors
  1. Magdalena Graczyk
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  2. Tadeusz Lasota
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  3. Zbigniew Telec
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  4. Bogdan Trawiński
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Editor information

Editors and Affiliations

  1. Gdynia Maritime University, 81-221, Gdynia, Poland

    Piotr Jędrzejowicz

  2. Institute of Informatics, Wroclaw University of Technology, Str. Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. University of Brighton, BN2 4GJ, Brighton, United Kingdom

    Robert J. Howlet

  4. University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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Graczyk, M., Lasota, T., Telec, Z., Trawiński, B. (2010). A Multi-Agent System to Assist with Property Valuation Using Heterogeneous Ensembles of Fuzzy Models. In: Jędrzejowicz, P., Nguyen, N.T., Howlet, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2010. Lecture Notes in Computer Science(), vol 6070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13480-7_44

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  • DOI: https://doi.org/10.1007/978-3-642-13480-7_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13479-1

  • Online ISBN: 978-3-642-13480-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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