Fuzzy Random Bimatrix Games Based on Possibility and Necessity Measures
In this study, we formulate bimatrix games with fuzzy random payoffs, and introduce equilibrium solution concepts based on possibility and necessity measures. It is assumed that each player has linear fuzzy goals for his/her payoff. To obtain equilibrium solutions based on the possibility and necess...
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| Veröffentlicht in: | Journal of advanced computational intelligence and intelligent informatics Jg. 25; H. 6; S. 1024 - 1030 |
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Tokyo
Fuji Technology Press Co. Ltd
01.11.2021
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| ISSN: | 1343-0130, 1883-8014 |
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| Abstract | In this study, we formulate bimatrix games with fuzzy random payoffs, and introduce equilibrium solution concepts based on possibility and necessity measures. It is assumed that each player has linear fuzzy goals for his/her payoff. To obtain equilibrium solutions based on the possibility and necessity measures, we propose two algorithms in which quadratic programming problems are solved repeatedly until equilibrium conditions are satisfied. |
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| AbstractList | In this study, we formulate bimatrix games with fuzzy random payoffs, and introduce equilibrium solution concepts based on possibility and necessity measures. It is assumed that each player has linear fuzzy goals for his/her payoff. To obtain equilibrium solutions based on the possibility and necessity measures, we propose two algorithms in which quadratic programming problems are solved repeatedly until equilibrium conditions are satisfied. |
| Author | Yano, Hitoshi |
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| DOI | 10.20965/jaciii.2021.p1024 |
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| SubjectTerms | Algorithms Equilibrium Equilibrium conditions Games Quadratic programming |
| Title | Fuzzy Random Bimatrix Games Based on Possibility and Necessity Measures |
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