What is it about?
This article presents safe ship control optimization design for navigator advisory system. Optimal safe ship control is presented as multistage decision-making in a fuzzy environment and as multistep decision-making in a game environment. The navigator's subjective and the maneuvering parameters are taken under consideration in the model process. A computer simulation of Fuzzy Neural Anticollision (FNAC) and Matrix Game Anti-collision (MGAC) algorithms was carried out on Matlab software on an example of the real navigational situation of passing three encountered ships in the Skagerrak Strait, in good and restricted visibility at sea. The developed solution can be applied in decision-support systems on board a ship.
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Why is it important?
This work showed that the proposed concept of applying the Fuzzy Neural Anti-collision and Matrix Game Anti-collision algorithms is a promising way to solve the considered problem and design a novel anti-collision system, allowing to increase the safety of maritime transport.
Perspectives
The created algorithms can be used as a tool to assist navigator in making maneuver decision, in complex collision situations, when passing through more ships, especially in restricted visibility at sea.
Professor Józef Andrzej Lisowski
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This page is a summary of: Comparison of Computational Intelligence Methods Based on Fuzzy Sets and Game Theory in the Synthesis of Safe Ship Control Based on Information from a Radar ARPA System, Remote Sensing, January 2019, MDPI AG,
DOI: 10.3390/rs11010082.
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