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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
Knowledge Representation in a Ship's Navigational Decision Support System
1 Maritime University of Szczecin, Szczecin, Poland
ABSTRACT: Supporting the navigator in decision making processes may substantially contribute to the enhancement of the safety in sea transport. The navigational decision support system supplements the existing range of equipment and systems intended for sea-going ship conduct. One of the basic tasks of such systems is an analysis of a navigational situation and solving collision situations. A well functioning navigational decision support system should feature a decision-maker?s (navigator?s) knowledge representation. This refers to both explicit knowledge - procedural, declarative, heuristic, and tacit knowledge - empirical associations. The article presents assumptions of navigational knowledge base and its realization in the presently designed navigational decision support system.
KEYWORDS: Safety of Navigation, Collision Situation, Decision Support System (DSS), Knowledge Representation, Ship's Navigational Decision Support System, Neural Networks, Decision Tables, Decision Trees
REFERENCES
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Pietrzykowski Z., Magaj J., Chomski J., Model of navigational decision support system on a sea-going vessel, Scientific Journals, Maritime University of Szczecin No13(85), Szczecin, 2008.
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Uriasz J., Navigational knowledge base, Scientific Journals, Maritime University of Szczecin No13(85), Szczecin, 2008.
Citation note:
Pietrzykowski Z., Uriasz J.: Knowledge Representation in a Ship's Navigational Decision Support System. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 4, No. 3, pp. 265-270, 2010
Other publications of authors:
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