scholarly journals ON CHARACTERIZATION OF EQUILIBRIUM STRATEGY FOR MATRIX GAMES WITH L-R FUZZY PAYOFFS

2021 ◽  
Vol 64 (3) ◽  
pp. 158-174
Author(s):  
Masamichi Kon
Keyword(s):  
Equilibrium Strategy ◽  
Matrix Games

scholarly journals Jury Verdicts and Preference Diversity

2000 ◽  
Vol 94 (2) ◽  
pp. 395-406 ◽  
Author(s):  
Dino Gerardi
Keyword(s):  
Decision Making ◽  
Equilibrium Strategy ◽  
Correct Decision ◽  
Unanimity Rule ◽  
Voting Rule ◽  
Jury Verdicts ◽  
Asymptotically Efficient

I develop a model of decision making in juries when there is uncertainty about jurors' preferences. I provide a characterization of the equilibrium strategy under any voting rule and show that nonunanimous rules are asymptotically efficient. Specifically, large juries make the correct decision with probability close to one. My analysis also demonstrates that under the unanimous rule, large juries almost never convict the defendant. The last result contrasts markedly with the literature and suggests that the unanimity rule can protect the innocent only at the price of acquitting the guilty.

PN equilibrium strategy for matrix games with fuzzy payoffs

2017 ◽  
Vol 32 (3) ◽  
pp. 2195-2206 ◽  
Author(s):  
Chao Xu ◽  
Fanyong Meng ◽  
Qiang Zhang
Keyword(s):  
Equilibrium Strategy ◽  
Matrix Games

scholarly journals A Class of Two-Person Zero-Sum Matrix Games with Rough Payoffs

2010 ◽  
Vol 2010 ◽  
pp. 1-22 ◽  
Author(s):  
Jiuping Xu ◽  
Liming Yao
Keyword(s):  
Genetic Algorithm ◽  
Expected Value ◽  
Equilibrium Strategy ◽  
Matrix Games ◽  
Zero Sum Games ◽  
Equilibrium Strategies ◽  
Expected Value Operator ◽  
Maximin Equilibrium ◽  
Trust Measure ◽  
Zero Sum

We concentrate on discussing a class of two-person zero-sum games with rough payoffs. Based on the expected value operator and the trust measure of rough variables, the expected equilibrium strategy andr-trust maximin equilibrium strategy are defined. Five cases whether the game existsr-trust maximin equilibrium strategy are discussed, and the technique of genetic algorithm is applied to find the equilibrium strategies. Finally, a numerical example is provided to illustrate the practicality and effectiveness of the proposed technique.

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