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本文叙述了一种用于决策支持辅助系统的模糊逻辑方法以及以运动物体速度相当慢的海军领域内人的专门知识的优点。我们研究跟踪过程中的机动辅助功能。传统的方法是使用简化假设建立数学模型。但是,跟踪过程不能严格确定,在性质上它是一个近似推理过程。在本文中我们提出一种由基于模糊逻辑知识系统提供的一种新方法。该方法的要点是描述操作人员的行为特征,以便将其结合到模糊逻辑决策辅助系统中。 已经实现了模糊逻辑开发环境。通过仿真获得了很满意的结果,证明这种模糊逻辑方法是合理的。
This paper describes a fuzzy logic approach to decision support support systems and the advantages of human expertise in the Navy’s area where moving objects are slow. We study motor-assisted functions in the tracking process. The traditional method is to use a simplifying assumption to establish a mathematical model. However, the tracking process can not be strictly defined, and it is an approximate reasoning process in nature. In this paper, we propose a new method based on fuzzy logic knowledge system. The point of this method is to describe the operator’s behavioral characteristics in order to incorporate it into the fuzzy logic decision support system. Has achieved a fuzzy logic development environment. Satisfied results obtained through simulation show that this fuzzy logic method is reasonable.