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Journal of Automation and Information Sciences
SJR: 0.238 SNIP: 0.464 CiteScore™: 0.27

ISSN Print: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/J Automat Inf Scien.v37.i6.30
pages 24-34

Formal Estimation of Expert Skills with Bayesian Model and Method of Interval Analysis

Olga A. Zhukovskaya
National Technical University of Ukraine “Kiev Polytechnical Institute”, Ukraine
Leonid S. Fainzilberg
International Research and Training Center of Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kyiv

ABSTRACT

Formal conditions, which enable one to guarantee expert qualification in the course of diagnostics of random states of an object, are studied. It is demonstrated, that for arbitrary confidence probability one can calculate the size of experimental sampling, using which frequencies of experts errors for practical use of the derived conditions should be estimated.