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.
Similar content being viewed by others
References
L. S. Shapley, “Equilibrium points in games with vector payoffs,” Naval Res. Log. Quarterly, No. 6 (1959).
P. Borm, D. Vermeulen, and M. Voorneveld, “The structure of the set of equilibriums for two person MC games,” Eur. J. Oper. Res. 148, 480–493 (2003).
Yu. B. Germeyer, Introduction to the Theory of Operations Research (Nauka, Moscow, 1971) [in Russian].
H. Moulin, Game Theory for the Social Sciences (Studies in Game Theory and Mathematical Economics) (New York Univ. Press, New York, 1986; Mir, Moscow, 1985).
D. Blackwell, “An analog of the minimax theorem for vector payoffs,” Pacif. J. Math., No. 6 (1956).
V. I. Podinovskii and V. D. Noghin, Pareto-Optimal Solutions of MC Problems (Nauka, Moscow, 1982) [in Russian].
N. M. Novikova, I. I. Pospelova, and A. I. Zenyukov, “Method of Convolution in MC Problems with Uncertainty,” J. Comput. Syst. Sci. Int. 56, 774–795 (2017).
M. Voorneveld, D. Vermeulen, and P. Borm, “Axiomatizations of Pareto equilibria in MC games,” Games Econ. Behavior 28, 146–154 (1999).
I. I. Pospelova, “Classification of vector optimization problems with uncertain factors,” Comput. Math. Math. Phys. 40, 820–836 (2000).
Author information
Authors and Affiliations
Corresponding author
Additional information
Dedicated to the 100th birthday of Academician N.N. Moiseev
Original Russian Text © N.M. Novikova, I.I. Pospelova, 2018, published in Zhurnal Vychislitel’noi Matematiki i Matematicheskoi Fiziki, 2018, Vol. 58, No. 2, pp. 192–201.
Rights and permissions
About this article
Cite this article
Novikova, N.M., Pospelova, I.I. Scalarization Method in Multicriteria Games. Comput. Math. and Math. Phys. 58, 180–189 (2018). https://doi.org/10.1134/S0965542518020112
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0965542518020112