Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2019, Issue 3, Pages 32–39
DOI: https://doi.org/10.14357/20718594190304 (Mi iipr178) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Decision support systems

Expert competency modeling

A. V. Solovyeva, V. E. Krivtsovb

a Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
b Institute of Physics and Technology (State University), Dolgoprudny, Russia
Full-text PDF (347 kB) Citations (1)
DOI: https://doi.org/10.14357/20718594190304
Abstract: The paper considers a methodological approach to modeling the competence of experts conducting the expertise of scientific projects carried out in organizations, as well as by grants from scientific foundations. The proposed approach has been pre-tested and will improve the efficiency of implementation and the quality of expertise in various areas of the modern digital economy.
Keywords: multi-criteria choice, expert competence, trust, opinion, recommendation, reputation, interdisciplinary research.
Funding agency Grant number
Russian Foundation for Basic Research 16-29-12925
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. V. Solovyev, V. E. Krivtsov, “Expert competency modeling”, Artificial Intelligence and Decision Making, 2019, no. 3, 32–39
Citation in format AMSBIB
\Bibitem{SolKri19}
\by A.~V.~Solovyev, V.~E.~Krivtsov
\paper Expert competency modeling
\jour Artificial Intelligence and Decision Making
\yr 2019
\issue 3
\pages 32--39
\mathnet{http://mi.mathnet.ru/iipr178}
\crossref{https://doi.org/10.14357/20718594190304}
\elib{https://elibrary.ru/item.asp?id=41216281}
Linking options:
  • https://www.mathnet.ru/eng/iipr178
  • https://www.mathnet.ru/eng/iipr/y2019/i3/p32
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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    Abstract page:22
    Full-text PDF :9
    References:1
     
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