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Artificial Intelligence and Decision Making, 2010, Issue 2, Pages 54–63 (Mi iipr499)  

This article is cited in 6 scientific papers (total in 6 papers)

Optimal choice

Reducing the Pareto set based on information about the DM’s set-point type preference relation

V. D. Nogin

Saint Petersburg State University
Full-text PDF (369 kB) Citations (6)
Abstract: The axiomatic approach to reduce the Pareto set in a multicriteria choice problem on the basis of the information set, which received from the DM, is considered. The author develops this approach from the beginning of 80th years of last century. Used information reflects in what measure the DM is ready to lose in values on one group of criteria for the sake of improvement of values for several other groups of criteria. It is shown that using of the above information allows us to remove variety of elements from the initial Pareto set and, thereby, to facilitate the further choice process.
Keywords: multicriteria choice, compromise, reducing Pareto set, axiomatic approach.
English version:
Scientific and Technical Information Processing, 2011, Volume 38, Issue 6, Pages 435–439
DOI: https://doi.org/10.3103/S0147688211050078
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. D. Nogin, “Reducing the Pareto set based on information about the DM’s set-point type preference relation”, Artificial Intelligence and Decision Making, 2010, no. 2, 54–63; Scientific and Technical Information Processing, 38:6 (2011), 435–439
Citation in format AMSBIB
\Bibitem{Nog10}
\by V.~D.~Nogin
\paper Reducing the Pareto set based on information about the DM’s set-point type preference relation
\jour Artificial Intelligence and Decision Making
\yr 2010
\issue 2
\pages 54--63
\mathnet{http://mi.mathnet.ru/iipr499}
\elib{https://elibrary.ru/item.asp?id=15593577}
\transl
\jour Scientific and Technical Information Processing
\yr 2011
\vol 38
\issue 6
\pages 435--439
\crossref{https://doi.org/10.3103/S0147688211050078}
Linking options:
  • https://www.mathnet.ru/eng/iipr499
  • https://www.mathnet.ru/eng/iipr/y2010/i2/p54
  • This publication is cited in the following 6 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:34
    Full-text PDF :14
    References:1
     
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