基于模糊逻辑设计器的船舶气象风险评估

İsmail Karaca, Ridvan Saraçoglu, O. Soner
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引用次数: 0

摘要

模糊逻辑是一种支持决策的先进方法,被许多学科的科学家所使用。模糊规划是模糊逻辑、模糊规则和隐含的产物。在海洋科学中,随着船舶自主研究的发展,船舶模糊规划得到了极大的发展。本文设计了一个支持船舶导航决策过程的程序。该程序采用模糊逻辑和规则编制,充分考虑了海上事故和专家意见。程序设计完成后,土耳其运输安全调查中心报告的46起船舶事故对该程序进行了测试。风速、海况、能见度、昼夜比作为输入数据。它们已在模糊逻辑设计器应用程序和海事专家制定的模糊规则中转化为风险因素。最后,将专家对每个事故的气象风险因子与程序的风险因子进行比较,并计算错误率。本研究的主要目的是利用预先决策支持模型来提高船舶的航行安全性。研究结果表明,模糊规划是一种支持安全导航的鲁棒模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Meteorological Risk Assessment for Ships with Fuzzy Logic Designer
Fuzzy Logic, an advanced method to support decision-making, is used by various scientists in many disciplines. Fuzzy programming is a product of fuzzy logic, fuzzy rules, and implication. In marine science, fuzzy programming for ships is dramatically increasing together with autonomous ship studies. In this paper, a program to support the decision-making process for ship navigation has been designed. The program is produced in fuzzy logic and rules, by taking the marine accidents and expert opinions into account. After the program was designed, the program was tested by 46 ship accidents reported by the Transportation Safety Investigation Center of Turkey. Wind speed, sea condition, visibility, day/night ratio have been used as input data. They have been converted into a risk factor within the Fuzzy Logic Designer application and fuzzy rules set by marine experts. Finally, the expert's meteorological risk factor for each accident is compared with the program's risk factor, and the error rate was calculated. The main objective of this study is to improve the navigational safety of ships, by using the advance decision support model. According to the study result, fuzzy programming is a robust model that supports safe navigation.
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