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International Conference on Parallel Processing and Applied Mathematics

PPAM 2009: Parallel Processing and Applied Mathematics pp 466–474Cite as

A New Method for Normalization of Interval Weights

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6068))

Abstract

A new method for normalization of interval weights based on the so-called “interval extended zero” method is proposed. The three desirable intuitively obvious properties of normalization procedure are defined. The main of them is based on the assumption that the sum of normalized interval weights should be an interval centered around 1 with a minimal width. The advantages of a new method are illustrated with use of six numerical examples. It is shown that a new method performs better than known methods for normalization of interval weights as it provides the results with the properties which are close to the desirable ones.

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Authors and Affiliations

  1. Institute of Comp. & Information Sci., Czestochowa University of Technology, Dabrowskiego 73, 42-200, Czestochowa, Poland

    Pavel Sevastjanov, Pavel Bartosiewicz & Kamil Tkacz

Authors
  1. Pavel Sevastjanov
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  2. Pavel Bartosiewicz
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  3. Kamil Tkacz
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Editor information

Editors and Affiliations

  1. Institute of Computational and Information Sciences,, Czestochowa University of Technology,  

    Roman Wyrzykowski

  2. Department of Electrical Engineering and Computer Science, University of Tennessee, 37996-3450, Knoxville, TN, USA

    Jack Dongarra

  3. Institute of Computer and Information Science, Czestochowa University of Technology, Dabrowskiego 73, PL-42-200, Czestochowa, Poland

    Konrad Karczewski

  4. Department of Informatics and Mathematical Modeling, Technical University of Denmark, Richard Petersens Plads, Building 321, 2800, Kongens Lyngby, Denmark

    Jerzy Wasniewski

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Sevastjanov, P., Bartosiewicz, P., Tkacz, K. (2010). A New Method for Normalization of Interval Weights. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2009. Lecture Notes in Computer Science, vol 6068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14403-5_49

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  • DOI: https://doi.org/10.1007/978-3-642-14403-5_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14402-8

  • Online ISBN: 978-3-642-14403-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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