ERROR ANALYSIS USING FUZZY ARITHMETIC BASED ON T-NORM |
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| 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
- Download:
- IMEKO-TC1-TC7-2008-013.pdf
- DOI:
- -
- 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