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

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...

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Veröffentlicht in:Remote sensing (Basel, Switzerland) Jg. 11; H. 1; S. 82
Hauptverfasser: Lisowski, Józef, Mohamed-Seghir, Mostefa
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.01.2019
Schlagworte:
Algorithms
Artificial intelligence
Artificial neural networks
Automation
Computer applications
Computer simulation
Control systems
Decision making
Decision support systems
Design optimization
Engineering
Fuzzy logic
Fuzzy sets
Game theory
Genetic algorithms
Kinematics
Neural networks
Neurons
Onboard equipment
Optimization
Visibility
Poland
New York
United Kingdom > UK
United States > US
ISSN:2072-4292, 2072-4292
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2072-4292
2072-4292
DOI:10.3390/rs11010082