Largest consistent subsets in interlaboratory comparisons: Preference aggregation approach

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

Keywords

Consensus relation
Interlaboratory comparisons
Preference aggregation

ASJC Scopus subject areas

Artificial Intelligence
Safety, Risk, Reliability and Quality

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Largest consistent subsets in interlaboratory comparisons : Preference aggregation approach. / Muravyov, Sergey V.; Marinushkina, Irina A.

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. 2011. p. 69-73.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Muravyov, SV & Marinushkina, IA 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, 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, 31.8.11.

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