Largest consistent subsets in interlaboratory comparisons: Preference aggregation approach

Sergey V. Muravyov, Irina A. Marinushkina

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

10 Citations (Scopus)

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 languageEnglish
Title of host publication14th 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
Pages69-73
Number of pages5
Publication statusPublished - 2011
Event14th 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

Other14th 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
CountryGermany
CityJena
Period31.8.11 → 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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    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)