Seyir Radar Verileri Kullanılarak Yüzen veya Sabit Hedeflerin Tespiti İçin Bulanık Sınıflandırıcı Tasarımı.

The most important resource in navigational safety for marine vehicles is radar information. The information from the radar is read continuously by an operator and the navigation process is tried to be carried out safely. In navigational safety, it is very important that the operator does not misclassify for object detection. In this study, for the first time in the literature, a fuzzy logic-based classifier has been created for navigational safety in the light of information obtained from radar with artificial intelligence. The classifier is designed to detect vessels, land, buoys and unidentified objects. Since there is no data set presented in the literature, fuzzy logic model, which is an expert-based artificial intelligence method, has been preferred. On the other hand, in order to test the performance of the model, a dataset is proposed with the algorithm designed synthetically from the help of expert experiences. As a result of the analysis, it has been shown that the fuzzy model can detect objects successfully. Moreover, it is predicted that this model will play a key role in the design of intelligent radar systems in the future. [ABSTRACT FROM AUTHOR]