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Nautical Knowledge Extraction and Decision Making

Filipowicz Włodzimierz

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2025

Vol. 19 No. 2

599--605

One frequently encountered decision-making problem is the evaluation that boils down to judging hypotheses. Typically, we determine whether they are true or false, although we may also have doubts. Hypotheses can be statements of various kinds. For example, we may wish to classify a given student as belonging to the category of good students. Mentioned hypotheses are related to different disciplines, quite often seemingly uncorrelated. To confirm this hypothesis, we would most often refer to the subjective opinions of their teachers. A similar issue arises in nautical science; for instance, consider the problem of identifying a particular location as the most probable one where an observer is situated. Accompanied establishing ranges of the true, false and uncertain statement might be subjective. Objectivity could be also considered provided stored sets of instances are available. Expected are adequate functionalities of software tools at hand. Functional aspects tends to increase nowadays. Random observations are usually accompanied by methods rectifying knowledge regarding their behaviour and quality. Available data are explored in order to extract necessary parameters required within the inference schemes of evaluating the hypothesis truth.