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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Fuzzy-neuron Model of the Ship Propulsion Risk
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: A prediction model is presented of the ship propulsion risk, i.e. a risk of the consequences of loss of the ship propulsion capability. This is an expert model based on opinions elicited by the ship power plant operators. The risk level depends, among other things, on the reliability state of the ship propulsion system components. This state is defined by operators in a linguistic form. The formal risk model parameters are determined by means of a neural network. The model may be useful in the ship operation decision processes.
KEYWORDS: Casualty Analysis Tool, Risk Analysis, Immediate Catastrophic Failure (ICF), Fuzzy-Neuron Model, Ship Propulsion Risk, Risk Prediction, Analytical Hierarchy Process (AHP)
REFERENCES
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Citation note:
Brandowski A., Mielewczyk A., Nguyen H., Frąckowiak W.: Fuzzy-neuron Model of the Ship Propulsion Risk. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 5, No. 3, pp. 337-343, 2011
Other publications of authors:
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