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Soft Methods for Integrated Uncertainty Modelling pp 173–181Cite as

Optimal Selection of Proportional Bounding Quantifiers in Linguistic Data Summarization

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Part of the book series: Advances in Soft Computing ((AINSC,volume 37))

Abstract

Proportional bounding quantifiers like “Between p1 and p2 percent” are potentially useful for expressing linguistic summaries of data. Given p1, p2, existing methods for data summarization based on fuzzy quantifiers can be used to assign a quality score to the summary.

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Author information

Authors and Affiliations

  1. FernUniversität in Hagen, 58084, Hagen, Germany

    Ingo Glöckner

Authors
  1. Ingo Glöckner
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Editor information

Editors and Affiliations

  1. AI Group Department of Engineering Mathematics, University of Bristol, BS8 1TR, Bristol, UK

    Jonathan Lawry

  2. Statistics and Operations Research, Rey Juan Carlos University, C-Tulip˙n s/n MÛstoles28933, Spain

    Enrique Miranda

  3. Intelligent Systems Group Department of Electronics & Computer Science, University of Santiago de Compostela Santiago de Compostela, Spain

    Alberto Bugarin

  4. Department of Applied Mathematics, Beijing University of Technology, 100022, Beijing, P.R. China

    Shoumei Li

  5. Dpto. Estadistica e I.O y D.M. Calle Calvo Sotelo s/n, Universiad de Oviedo Fac. Ciencias, 33071, Oviedo, Spain

    Maria Angeles Gil

  6. Systems Research Institute Polish Academy of Sciences, Newelska 6, 01-447, Warsaw, Poland

    Przemys aw Grzegorzewski

  7. Systems Research Institute Polish Academy of Sciences, Newelska 6, 01-447, Warsaw, Poland

    Olgierd Hyrniewicz

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© 2006 Springer

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Glöckner, I. (2006). Optimal Selection of Proportional Bounding Quantifiers in Linguistic Data Summarization. In: Lawry, J., et al. Soft Methods for Integrated Uncertainty Modelling. Advances in Soft Computing, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-34777-1_22

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  • DOI: https://doi.org/10.1007/3-540-34777-1_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34776-7

  • Online ISBN: 978-3-540-34777-4

  • eBook Packages: EngineeringEngineering (R0)

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