Abstract
Interlaboratory comparisons need a reference value of the measurand to be assigned. It is necessary to have some procedure that allows to determine the reference value at a maximum number of participating laboratories results to be included into the determination and, at the same time, unreliable laboratory results must be disregarded. It is shown in the paper that this procedure can be implemented using a preference aggregation approach.
| Original language | English |
|---|---|
| Title of host publication | 14th Joint International IMEKO TC1, TC7, TC13 Symposium on Intelligent Quality Measurements - Theory, Education and Training 2011, Held in Conj. with the 56th IWK Ilmenau University of Technology |
| Pages | 69-73 |
| Number of pages | 5 |
| Publication status | Published - 2011 |
| Event | 14th Joint International IMEKO TC1, TC7, TC13 Symposium on Intelligent Quality Measurements - Theory, Education and Training 2011, Held in Conjunction with the 56th IWK Ilmenau University of Technology - Jena, Germany Duration: 31 Aug 2011 → 2 Sep 2011 |
Other
| Other | 14th Joint International IMEKO TC1, TC7, TC13 Symposium on Intelligent Quality Measurements - Theory, Education and Training 2011, Held in Conjunction with the 56th IWK Ilmenau University of Technology |
|---|---|
| Country | Germany |
| City | Jena |
| Period | 31.8.11 → 2.9.11 |
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Keywords
- Consensus relation
- Interlaboratory comparisons
- Preference aggregation
ASJC Scopus subject areas
- Artificial Intelligence
- Safety, Risk, Reliability and Quality
Cite this
Muravyov, S. V., & Marinushkina, I. A. (2011). Largest consistent subsets in interlaboratory comparisons: Preference aggregation approach. In 14th Joint International IMEKO TC1, TC7, TC13 Symposium on Intelligent Quality Measurements - Theory, Education and Training 2011, Held in Conj. with the 56th IWK Ilmenau University of Technology (pp. 69-73)