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Artificial Intelligence and Decision Making, 2011, Issue 1, Pages 67–81 (Mi iipr457)  
This article is cited in 2 scientific papers (total in 2 papers)

Optimal choice

The Pareto set reduction using compound information of closed type

A. O. Zakharov

Saint Petersburg State University
Full-text PDF (388 kB) Citations (2)
Abstract: The Pareto set reduction axiomatic approach is used in this paper to solve multicriteria choice problem. An aim is to construct an upper estimate for unknown set of selected alternatives. It is settled how to reduce the set of compromise alternatives using compound closed information on the preference relation of the decision maker. An illustrative example is given.
Keywords: axiomatic approach, multicriteria choice, multicriteria problem, the Pareto set reduction, compromise set.
English version:
Scientific and Technical Information Processing, 2012, Volume 39, Issue 5, Pages 293–302
DOI: https://doi.org/10.3103/S0147688212050073
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. O. Zakharov, “The Pareto set reduction using compound information of closed type”, Artificial Intelligence and Decision Making, 2011, no. 1, 67–81; Scientific and Technical Information Processing, 39:5 (2012), 293–302
Citation in format AMSBIB
\Bibitem{Zak11}
\by A.~O.~Zakharov
\paper The Pareto set reduction using compound information of closed type
\jour Artificial Intelligence and Decision Making
\yr 2011
\issue 1
\pages 67--81
\mathnet{http://mi.mathnet.ru/iipr457}
\elib{https://elibrary.ru/item.asp?id=17805887}
\transl
\jour Scientific and Technical Information Processing
\yr 2012
\vol 39
\issue 5
\pages 293--302
\crossref{https://doi.org/10.3103/S0147688212050073}
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  • https://www.mathnet.ru/eng/iipr457
  • https://www.mathnet.ru/eng/iipr/y2011/i1/p67
    • This publication is cited in the following 2 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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    Full-text PDF :4
    References:1
     
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