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Man-Machine Interactions pp 273–280Cite as

Fuzzy Weighted Averaging Using Criterion Function Minimization

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 59))

Abstract

In this paper there is presented the computational study of fuzzy weighted averaging of data in the presence of non-stationary noise. There is proposed a new method, which is an extension of Weighted Averaging using Criterion Function Minimization (WACFM). In the method the weighting coefficients are fuzzy numbers instead of classical real numbers. The determining of these coefficients requires the extending of WACFM method for certain types of fuzzy numbers. In the presented case there is made an assumption of the triangle membership function for fuzzy coefficients. The performance of presented method is experimentally evaluated and compared with the traditional arithmetic averaging as well as Weighted Averaging using Criterion Function Minimization (WACFM) for the ECG signal.

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Author information

Authors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Alina Momot

  2. Institute of Medical Technology and Equipment, Roosevelt 118, 41-800, Zabrze, Poland

    Michał Momot

Authors
  1. Alina Momot
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  2. Michał Momot
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Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Krzysztof A. Cyran , Stanisław Kozielski , Urszula Stańczyk  & Alicja Wakulicz-Deja , ,  & 

  2. University of Manitoba, Winnipeg, Canada

    James F. Peters

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© 2009 Springer-Verlag Berlin Heidelberg

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Momot, A., Momot, M. (2009). Fuzzy Weighted Averaging Using Criterion Function Minimization. In: Cyran, K.A., Kozielski, S., Peters, J.F., Stańczyk, U., Wakulicz-Deja, A. (eds) Man-Machine Interactions. Advances in Intelligent and Soft Computing, vol 59. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00563-3_28

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  • DOI: https://doi.org/10.1007/978-3-642-00563-3_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00562-6

  • Online ISBN: 978-3-642-00563-3

  • eBook Packages: EngineeringEngineering (R0)

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