摘要
舰炮对岸射击中射击目标选取比较复杂,用基于AFS逻辑的模糊聚类分析数学方法对射击目标进行处理,是一种评估战场目标选取的新方法。基于AFS逻辑的模糊聚类分析不仅与人类的思维逻辑类似,而且便于计算机将数据库中的记录转化为人类容易理解和操作的模糊集。作为在数据挖掘中的应用,又给出了基于AFS模糊逻辑的一个新的模糊聚类方法,通过具体的数学模型仿真表明这是一种行之有效的方法。
It is a complex problem to select objects for ship-to-shore gun firing. The fuzzy clustering analysis based on AFS fuzzy logic is the latest method of how to evaluate and select objects in battlefield. This method is not only resembled to logical thinking of human-being, but also convenient for computers to transform the data from databases into fuzzy sets for man to easily understand and operate. This paper provides a new method of fuzzy clustering based on AFS to apply in data excavate. Proved by simulations of a concrete mathematic model, this method appears very effective.
出处
《指挥控制与仿真》
2006年第6期51-54,共4页
Command Control & Simulation
