Ship berthing manipulation fuzzy rule extraction method based on genetic algorithm

The invention discloses a ship berthing manipulation fuzzy rule extraction method based on a genetic algorithm, which analyzes relevant parameters influencing berthing manipulation through actual ship berthing experimental data, optimizes a membership function and a fuzzy control rule of an input and output parameter fuzzy set by setting a parameter optimization range and adopting the genetic algorithm, and improves the ship berthing manipulation fuzzy rule extraction efficiency. Attribute association hidden by real ship berthing manipulation data is mined, manipulation rules are graphically displayed, and the problems that current berthing manipulation is empirical, unclear and difficult to quantify are solved. Meanwhile, due to the fact that the adopted genetic algorithm has the advantages of being high in efficiency, small in dependence on problems and more likely to obtain a globally optimal solution, the ship berthing control rule extracted through the method is more accurate. 本发明公开了一种基于遗传算法的船舶靠泊操纵模糊规则提取