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Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2017, Volume 57, Number 4, Pages 645–653
DOI: https://doi.org/10.7868/S0044466917040093
(Mi zvmmf10560)
 

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

Pareto set reduction based on an axiomatic approach with application of some metrics

V. D. Nogin

St. Petersburg State University, St. Petersburg, Russia
Full-text PDF (118 kB) Citations (6)
References:
Abstract: A multicriteria choice problem involving a decision-maker’s binary preference relation is considered. Several two-stage methods are proposed for its solution. First, the Pareto set is reduced by applying an axiomatic approach. Then the problem is scalarized on the resulting set by using the Chebyshev or Euclidean metric. The methods proposed are substantiated with the help of well-known and new techniques for characterizing weakly efficient and proper efficient points. Illustrative examples are given.
Key words: multicriteria choice, Edgeworth–Pareto principle, Pareto set reduction, Chebyshev metric, Euclidean metric, scalarization, axiomatic approach.
Funding agency Grant number
Russian Foundation for Basic Research 14-07-00899_а
15-01-07006_д
17-07-00371_а
Received: 19.02.2016
Revised: 14.06.2016
English version:
Computational Mathematics and Mathematical Physics, 2017, Volume 57, Issue 4, Pages 645–652
DOI: https://doi.org/10.1134/S096554251704008X
Bibliographic databases:
Document Type: Article
UDC: 519.658
Language: Russian
Citation: V. D. Nogin, “Pareto set reduction based on an axiomatic approach with application of some metrics”, Zh. Vychisl. Mat. Mat. Fiz., 57:4 (2017), 645–653; Comput. Math. Math. Phys., 57:4 (2017), 645–652
Citation in format AMSBIB
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  • 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
    Журнал вычислительной математики и математической физики Computational Mathematics and Mathematical Physics
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    Abstract page:300
    Full-text PDF :114
    References:53
    First page:12
     
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