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ERROR ANALYSIS USING FUZZY ARITHMETIC BASED ON T-NORM

Michal K. Urbanski, Adam Bzowski
  • Abstract:
    The presented algorithm for uncertainty evaluation has three steps: determining the membership function from series of measurements, evaluation of membership function of average value using fuzzy arithmetic based on a t-norm, and addition of systematic errors (based on expert analysis). The parameters of the t-norm are determined by a minimization procedure for a proposed error function.
  • Keywords:
    uncertainty, fuzzy intervals, t-norm
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  • DOI:
    _unreg_tc7-2008.013

Event details:

  • IMEKO TC:
    TC7
  • Event name:
    TC1 & TC7 Conference 2008
  • Title:

    12th IMEKO TC1 & TC7 Joint Symposium on "Man, Science & Measurement" (TC7)

  • Place:
    Annecy, FRANCE
  • Time:
    03 September 2008 - 05 September 2008