MEASUREMENT UNCERTAINTY AND FUZZY MODELS

• Abstract:

  Measurement results of continuous quantities are not precise numbers, but more or less non-precise. They are connected with different kinds of uncertainty: Variability, errors, and fuzziness. This fuzziness of individual measurement results is different from errors, and the best up to date description of this imprecision is by fuzzy numbers. Examples will be given how to obtain the characterizing functions of fuzzy data, and to illustrate the generalized analysis method, which uses fuzzy models.
• Keywords:

  characterizing function, fuzzy mean value, fuzzy numbers, fuzzy standard deviation, measurement result
• Download:

  IMEKO-WC-2015-TC21-398.pdf
• DOI:

  _unreg_wc-2015.398

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