Numerical experimental investigation of comparison data evaluation method using preference aggregation

Abstract

© 2017 IMEKO. An integrated software for experimental testing preference aggregation method for interlaboratory comparison data processing is presented. 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
Pages (from-to)	20-26
Number of pages	7
Journal	Acta IMEKO
Volume	6
Issue number	1
Publication status	Published - 1 Apr 2017

Keywords

Interlaboratory comparisons
Largest consistent subset
Preference aggregation
Reference value
Robust method

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abstract = "{\textcopyright} 2017 IMEKO. An integrated software for experimental testing preference aggregation method for interlaboratory comparison data processing is presented. 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.",

keywords = "Interlaboratory comparisons, Largest consistent subset, Preference aggregation, Reference value, Robust method",

author = "Muravyov, {Sergey V.} and Marinushkina, {Irina A.} and Garif, {Diana D.}",

year = "2017",

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KW - Preference aggregation

KW - Reference value

KW - Robust method

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Numerical experimental investigation of comparison data evaluation method using preference aggregation

Abstract

Keywords

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