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Remote Sens. 2019, 11(1), 82; https://doi.org/10.3390/rs11010082

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

Department of Ship Automation, Gdynia Maritime University, 81-225 Gdynia, Poland
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Received: 28 November 2018 / Revised: 26 December 2018 / Accepted: 26 December 2018 / Published: 4 January 2019
(This article belongs to the Special Issue Radar and Sonar Imaging and Processing)
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Abstract

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 anticollision (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. View Full-Text
Keywords: radar; fuzzy sets theory; artificial neural network; game theory; safe ship trajectory; computer simulation; computer decision support radar; fuzzy sets theory; artificial neural network; game theory; safe ship trajectory; computer simulation; computer decision support
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Lisowski, J.; Mohamed-Seghir, M. 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 Sens. 2019, 11, 82.

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