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Author Filipowicz, Włodzimierz
Affiliation Gdynia Maritime University 81/83 Morska St., 81-225 Gdynia, Poland
E-mail wnkpisk@am.gdynia.pl
ISSN printed 1733-8670
URI http://repository.am.szczecin.pl/handle/123456789/2440
Abstract Nautical measurements are randomly and systematically corrupted. There is a rich scope of knowledge regarding the randomness shown by results of observations. The distribution of stochastic distortions remains an estimate and is imprecise with respect to their parameters. Uncertainties can also occur through the subjective assessment of each piece of available data. The ability to model and process all of the aforementioned items through traditional approaches is rather limited. Moreover, the results of observations, the final outcome of a quality evaluation, can be estimated prior to measurements being taken. This a posteriori analysis is impaired and it is outside the scope of traditional, inaccurate data handling methods. To propose new solutions, one should start with an alternative approach towards modelling doubtfulness. The following article focusses on belief assignments that may benefit from the inclusion of uncertainty. It starts with a basic interval uncertainty model. Then, assignments engaging fuzzy locations around nautical indications are discussed. This fragment includes transformation from density functions to probability distributions of random errors. Diagrams of the obtained conversions are included. The presentation concludes with a short description of a computer application that implements the presented ideas.
Pages 65–73
Publisher Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie
Keywords nautical evidence
Keywords probability density
Keywords probability distributions
Keywords uncertainty model
Keywords nautical propositions
Keywords simple belief structure
Title A logical device for processing nautical data
Type Review article
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ISSN on-line 2392-0378
Language English
Funding No data
Figures 8
Tables 4
DOI 10.17402/246
Published 2017-12-15
Accepted 2017-11-29
Recieved 2017-10-23

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