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Acceptance Sampling Plans by Variables for Vague Data

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Soft Methods in Probability, Statistics and Data Analysis

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 16))

Abstract

All classical sampling plans were constructed for exact data. However, sometimes we are not able to obtain such data but we deal with imprecise or even linguistic data. Therefore, a method for designing acceptance sampling plans by variables for vague data is considered.

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Author information

Authors and Affiliations

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

    Przemysław Grzegorzewski

  2. Faculty of Math. and Inf. Sci., Warsaw University of Technology, Plac Politechniki 1, 00-661, Warsaw, Poland

    Przemysław Grzegorzewski

Authors
  1. Przemysław Grzegorzewski
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Editor information

Editors and Affiliations

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

    Przemysław Grzegorzewski  & Olgierd Hryniewicz  & 

  2. Facultad de Ciencias, Departamento de Estadística e I.O. y D.M., Universidad de Oviedo, C/Calvo Sotelo, s/n, 33007, Oviedo, Spain

    María Ángeles Gil

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© 2002 Springer-Verlag Berlin Heidelberg

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Grzegorzewski, P. (2002). Acceptance Sampling Plans by Variables for Vague Data. In: Grzegorzewski, P., Hryniewicz, O., Gil, M.Á. (eds) Soft Methods in Probability, Statistics and Data Analysis. Advances in Intelligent and Soft Computing, vol 16. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1773-7_19

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  • DOI: https://doi.org/10.1007/978-3-7908-1773-7_19

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1526-9

  • Online ISBN: 978-3-7908-1773-7

  • eBook Packages: Springer Book Archive

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