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Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2018, Volume 58, Number 2, Pages 192–201
DOI: https://doi.org/10.7868/S0044466918020047
(Mi zvmmf10672)
 

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

Scalarization method in multicriteria games

N. M. Novikovaa, I. I. Pospelovab

a Dorodnicyn Computing Center, Federal Research Center “Computer Science and Control”, Russian Academy of Sciences, Moscow, Russia
b Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia
Citations (6)
References:
Abstract: Using a two-criteria two-person game as an example, the validity of the scalarization method applied for the parameterization of the set of game values and for estimating the players' payoffs is investigated. It is shown that the use of linear scalarization by the players gives the results different from those obtained using Germeyer's scalarization. Various formalizations of the concept of value of MC games are discussed.
Key words: multicriteria games, mixed extensions, scalarization method, linear scalarization, Germeyer's scalarization, averaging of the vector of criteria.
Received: 20.07.2017
English version:
Computational Mathematics and Mathematical Physics, 2018, Volume 58, Issue 2, Pages 180–189
DOI: https://doi.org/10.1134/S0965542518020112
Bibliographic databases:
Document Type: Article
UDC: 519. 698
Language: Russian
Citation: N. M. Novikova, I. I. Pospelova, “Scalarization method in multicriteria games”, Zh. Vychisl. Mat. Mat. Fiz., 58:2 (2018), 192–201; Comput. Math. Math. Phys., 58:2 (2018), 180–189
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:280
    References:59
     
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