A Generalized Solution Approach to Matrix Games with 2-Tuple Linguistic Payoffs
- Publisher:
- Springer Singapore
- Publication Type:
- Conference Proceeding
- Citation:
- Advances in Intelligent Systems and Computing, 2021, 1287, pp. 531-543
- Issue Date:
- 2021-01-01
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Filename | Description | Size | |||
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Verma2021_Chapter_AGeneralizedSolutionApproachTo.pdf | Published version | 238.86 kB |
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In real-world, game theory has been found great success in solving competitive decision-making problems more effectively. This paper develops a generalized approach to solve matrix games with payoffs represented by 2-tuple linguistic values. We define a pair of non-linear optimization models to solve this class of games, which include an attitudinal parameter λ. By considering different values of parameter λ, we can obtain different sets of optimal strategies corresponding to players as per our requirement. Finally, a numerical example is given to show the flexibility and applicability of the developed method.
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