A new approach to guaranteed solutions of multicriteria choice problems: Pareto consideration of Savage-Niehans risk and outcomes
    
    
  
  
  
      
      
      
        
Taurida Journal of Computer Science Theory and Mathematics, no. 1 (2023), pp. 42-61
    
  
  
  
  
  
    
      
      
        
      
      
      
    Voir la notice de l'article provenant de la source Math-Net.Ru
            
              			This article considers three new approaches to important problems of mathematical game theory and multicriteria choice.The first approach ensures payoff increase with simultaneous risk reduction in the Savage-Niehans sense in multicriteria choice problem and noncooperative games. The second approach allow us to stabilize coalitional structures in cooperative games without side payments under uncertainty. The third approach serves to integrate the selfish Nash equilibrium with the altruistic Berge equilibrium. Note that the investigations involve a special Germeier convolution of criteria and calculation of its saddle point in mixed strategies.
			
            
            
            
          
        
      
                  
                    
                    
                    
                        
Keywords: 
Savage–Niehans risk, minimax regret, uncertainties, multicriteria choice, Pareto consideration.
                    
                    
                    
                  
                
                
                @article{TVIM_2023_1_a2,
     author = {V. I. Zhukovskii and L. V. Zhukovskaya and Yu. S. Mukhina},
     title = {A new approach to guaranteed solutions of multicriteria choice problems: {Pareto} consideration of {Savage-Niehans} risk and outcomes},
     journal = {Taurida Journal of Computer Science Theory and Mathematics},
     pages = {42--61},
     publisher = {mathdoc},
     number = {1},
     year = {2023},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/TVIM_2023_1_a2/}
}
                      
                      
                    TY - JOUR AU - V. I. Zhukovskii AU - L. V. Zhukovskaya AU - Yu. S. Mukhina TI - A new approach to guaranteed solutions of multicriteria choice problems: Pareto consideration of Savage-Niehans risk and outcomes JO - Taurida Journal of Computer Science Theory and Mathematics PY - 2023 SP - 42 EP - 61 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/TVIM_2023_1_a2/ LA - en ID - TVIM_2023_1_a2 ER -
%0 Journal Article %A V. I. Zhukovskii %A L. V. Zhukovskaya %A Yu. S. Mukhina %T A new approach to guaranteed solutions of multicriteria choice problems: Pareto consideration of Savage-Niehans risk and outcomes %J Taurida Journal of Computer Science Theory and Mathematics %D 2023 %P 42-61 %N 1 %I mathdoc %U http://geodesic.mathdoc.fr/item/TVIM_2023_1_a2/ %G en %F TVIM_2023_1_a2
V. I. Zhukovskii; L. V. Zhukovskaya; Yu. S. Mukhina. A new approach to guaranteed solutions of multicriteria choice problems: Pareto consideration of Savage-Niehans risk and outcomes. Taurida Journal of Computer Science Theory and Mathematics, no. 1 (2023), pp. 42-61. http://geodesic.mathdoc.fr/item/TVIM_2023_1_a2/
