Abstract
It is presented an integrated software for experimental testing preference aggregation method for interlaboratory comparison data processing. The data can be obtained by a Monte-Carlo simulation and/or taken from real comparisons. Numerical experimental investigations with the software have shown that, as against traditional techniques of interlaboratory comparison data processing, the preference aggregation method provides a robust comparison reference value to be closer to a nominal value.
Original language | English |
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Title of host publication | XXI IMEKO World Congress "Measurement in Research and Industry" |
Publisher | IMEKO-International Measurement Federation Secretariat |
Publication status | Published - 2015 |
Event | 21st IMEKO World Congress on Measurement in Research and Industry - Prague, Czech Republic Duration: 30 Aug 2015 → 4 Sep 2015 |
Other
Other | 21st IMEKO World Congress on Measurement in Research and Industry |
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Country | Czech Republic |
City | Prague |
Period | 30.8.15 → 4.9.15 |
Keywords
- Interlaboratory comparisons
- Largest consistency subset
- Preference aggregation
- Reference value
- Robust method
ASJC Scopus subject areas
- Electrical and Electronic Engineering