An optimal transmission strategy in zero-sum matrix games under intelligent jamming attacks

Arunthavanathan, Senthuran; Goratti, Leonardo; Maggi, Lorenzo; Pellegrini, Francesco De; Kandeepan, Sithamparanathan; Reisenfeld, Sam

doi:10.1007/s11276-017-1629-4

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…The objective of both sides of the game is to destroy the opponent, and both sides design the idea to move a very small part of the distance to the quadrant where the enemy is located to approach the opponent, but not yet allow the opponent to detect the native tank. Then it is necessary to construct the game circumference and find the optimal path value according to the alpha-beta pruning algorithm of the zero-sum game [19]. The attacking posture of the attacker is countered.…”

Section: B Algorithm Supportmentioning

confidence: 99%

Analysis of Robocode Robot Adaptive Confrontation Based on Zero-Sum Game

Lu¹

2022

Preprint

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Section: B Algorithm Supportmentioning

confidence: 99%

Analysis of Robocode Robot Adaptive Confrontation Based on Zero-Sum Game

Lu¹

2022

Preprint

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“…Li [22], in his work, solved matrix games with different uncertainties using Atanassov's intuitionistic fuzzy environment. Several monographs and articles have been published in game theory [1,3,4,5,11,13,15,17,18,19,21,33,34,35,36,37,38,39,50] having many real-life impacts. Linguistic term set in neutrosophic environment through game theory can be viewed as a new concept.…”

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confidence: 99%

Multi-objective linguistic-neutrosophic matrix game and its applications to tourism management

Bhaumik¹,

Roy²,

Weber³

2021

JDG

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Game theory plays an important role in numerous decision-oriented real-life problems. Nowadays, many such problems are basically characterized by various uncertainties. Uncertainties come to happen due to decision makers' collection of data, intuition, assumption, judgement, behaviour, evaluation and lastly, due to the problem itself. Fuzzy concept with membership degree made an initialization towards the treatment of uncertainty, but it was not enough. Intuitionistic fuzzy concept was evolved concerning with both membership and non-membership degrees but failed to express reality more accurately. Then, neutrosophy logic was developed with a new degree in uncertainty, say, indeterminacy degree besides membership and non-membership degrees. Multi-objective optimization is an area of multiple-criteria decision making related with mathematical optimization problems involving more than one objective function to be optimized at the same time. Game theory (matrix game) problems with imprecise, vague information, like neutrosophic, can be formed with multiple objective functions. We develop and analyse a matrix game with multiple objectives, and solve the problem under a single-valued neutrosophic environment in linguistic approach. The main achievement of our study is that we here introduce a problem-oriented example to justify our designed methodologies with a successful real-life implications using linguistic neutrosophic data rather than crisp data as used in previous researches.

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Evaluations for medical diagnoses phenomena through $$2\times 2$$ linguistic neutrosophic environment-based game situation

Bhaumik

Roy

2022

Soft Comput

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An optimal transmission strategy in zero-sum matrix games under intelligent jamming attacks

Cited by 5 publications

References 26 publications

Analysis of Robocode Robot Adaptive Confrontation Based on Zero-Sum Game

Analysis of Robocode Robot Adaptive Confrontation Based on Zero-Sum Game

Multi-objective linguistic-neutrosophic matrix game and its applications to tourism management

Evaluations for medical diagnoses phenomena through $$2\times 2$$ linguistic neutrosophic environment-based game situation

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