Nash equilibrium selection using a hybrid two-player static game with trade-off ranking method

Muhammad Akram Ramadhan, Ibrahim and Nor Izzati, Jaini and Ku Muhammad Naim, Ku Khalif (2024) Nash equilibrium selection using a hybrid two-player static game with trade-off ranking method. Pakistan Journal of Statistics and Operation Research, 20 (1). pp. 99-108. ISSN 2220-5810. (Published)

Nash Equilibrium Selection Using a Hybrid.pdf
Available under License Creative Commons Attribution Non-commercial.

Download (404kB) | Preview


In the context of the game theory solution idea, the study seeks to suggest the ranking of an optimal solution when there are several Nash equilibria. The integration of the MCDM approach and game theory is a common strategy for addressing real-world challenges. This study introduces a novel hybrid method, combining a non-cooperative static game from game theory with the trade-off ranking (TOR) method from MCDM. The proposed hybrid method is used to rank multiple Nash equilibria concerning some criteria. The methodology for both static game and TOR method are explained in the paper. The game theory model used is a two-player non-constant-sum static game. The proposed methodology is tested using international cooperation in Iran. The result suggests the ranking of the combined strategies using the proposed method.

Item Type: Article
Uncontrolled Keywords: Game theory; Multicriteria Decision making
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Institute of Postgraduate Studies
Center for Mathematical Science
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 14 Mar 2024 02:08
Last Modified: 14 Mar 2024 02:08
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item