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Possibilistic interpretation of fuzzy statistical tests

  • Olgierd Hryniewicz
Chapter
  • 478 Downloads
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 87)

Abstract

A new possibilistic method for the interpretation of the results of fuzzy statistical tests has been proposed. The concept of the observed test size (p-value, significance) has been generalised to the case of fuzzy data. Indices of the possibility and necessity of dominance have been used for the comparison of null and alternative hypotheses. An example from statistical quality control is given.

Keywords

Fuzzy Number Fuzzy Random Variable Fuzzy Data Statistical Quality Control Acceptance Sampling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Olgierd Hryniewicz
    • 1
  1. 1.Systems Research InstituteWarsawPoland

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