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Uncertainty in Noise Mapping: Comparing a Probabilistic and a Fuzzy Set Approach

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Fuzzy Sets and Systems — IFSA 2003 (IFSA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2715))

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Abstract

Complex georeferenced simulation resulting in immission maps loose credibility because of lacking or poor quality input data and model approximations. For modeling the resulting imperfection in the maps, several techniques can be used. In this paper we briefly compare a probabilistic approach implemented using Monte Carlo and a Fuzzy Approach. The theoretical foundations are highlighted and their consequences for the simulations are outlined. An experiment is set up to compare practical results of both techniques. Despite numerical differences in results, both techniques prove usable while the Fuzzy Approach has a clear advantage in calculation speed compared to a Monte Carlo Approach.

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Author information

Authors and Affiliations

  1. Dept. of Information Technology, Ghent University, Sint-Pietersnieuwstraat 41, B-9000, Gent, Belgium

    Tom De Muer & Dick Botteldooren

Authors
  1. Tom De Muer
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  2. Dick Botteldooren
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Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Boğaziçi University, 34342, Bebek, Istanbul, Turkey

    Taner Bilgiç

  2. Dept. of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure links 653, 9000, Gent, Belgium

    Bernard De Baets

  3. Department of Electrical and Electronics Engineering, Boğaziçi University, 34342, Bebek, Istanbul, Turkey

    Okyay Kaynak

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© 2003 Springer-Verlag Berlin Heidelberg

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De Muer, T., Botteldooren, D. (2003). Uncertainty in Noise Mapping: Comparing a Probabilistic and a Fuzzy Set Approach. In: Bilgiç, T., De Baets, B., Kaynak, O. (eds) Fuzzy Sets and Systems — IFSA 2003. IFSA 2003. Lecture Notes in Computer Science, vol 2715. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44967-1_27

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  • DOI: https://doi.org/10.1007/3-540-44967-1_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40383-8

  • Online ISBN: 978-3-540-44967-6

  • eBook Packages: Springer Book Archive

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