基于案例推理在船舶转向应急防撞中的应用

Deepak Dixena, Baisakhi Chakraborty, N. Debnath
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引用次数: 5

摘要

船舶和海军舰艇是国家重要的昂贵财产。它们运输昂贵的货物,往往有助于国家的安全。他们在海上可能面临许多严重的紧急情况,导致事故、碰撞、船舶倾覆,对生命、财产和环境造成破坏性影响。人为失误是造成船舶事故的主要原因之一。为了减少海上航行中的事故和船舶碰撞,在智能决策设施方面,自动助航设备的应用正在增加。基于案例的推理(Case-based reasoning, CBR)是一种通过参考各种相似的问题情境来解决当前问题的问题解决技术。它可以通过从与当前情况相似的情况中检索过去的解决方案,并做出必要的调整以适应它们,从而使决策更容易。本文提出了一种基于实例的船舶转向问题推理系统。系统的准确性依赖于对可能解的有效检索,而本文提出的算法另一方面提高了求解新情况相似度的有效性。
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Application of Case-based reasoning for ship turning emergency to prevent collision
Ships and naval vessels are significant expensive properties of the nation. They transport expensive goods and often contribute to country's security. They may face many critical emergency cases in sea that lead to accidents, collision, ship overturn leading to a destructive effect on life, property and environment. One of the major reasons for ship accidents is due to human error. To reduce accidents and ship collisions during ocean navigation, application of automated navigational aids in terms of intelligent decision taking facilities are on the rise. Case-based reasoning (CBR) is a problem solving technique that solves present problem taking reference from variety of similar problem situations. It can render decision-making easier by retrieving past solutions from situations that are similar to the one at hand and make necessary adjustments in order to adapt them. In this paper, a Case-based reasoning system for handling ship turning problem has been proposed. The system's accuracy depends on the efficient retrieval of possible solutions, and the proposed algorithm improves the effectiveness of solving the similarity to a new case at the other hand.
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