The article presents a method for modeling seakeeping properties represented by linguistic variables. An example of modeling deck wetness for a container ship is provided. An approximating function for deck wetness in the form of a linguistic variable was developed using artificial neural networks. Based on this, recommendations for the preliminary design of container ships, taking into account deck wetness, were developed. The above recommendation can be applied to a wide range of shapes and dimensions of these vessels.In classical logic, every sentence takes exactly one of two logical values: “true” or “false”. Since this approach does not account for intermediate states, certain alternative logical systems have been created. Such systems include, for example, the three-valued logic created by the Polish scholar Jan Łukasiewicz or the so-called fuzzy logic developed by Professor Lofti A. Zadeh, presented in [7][8].
Fuzzy logic is, in a sense, a generalization of classical logic. It models ambiguous, imprecise, and sometimes contradictory phenomena. In fuzzy logic, a range of intermediate values extends between state 0 (false) and state 1 (true), which determine the degree of an element’s membership in a set. Fuzzy inference uses linguistic variables to which certain fuzzy sets are assigned. Linguistic variables are variables that take as their values (…)
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Source: Logistyka Magazine