舰炮打击目标优选新方法研究

Research on New Method of Target Selection for Naval Gun

舰炮在海战中承担的作战任务也越来越重要,射击目标的快速优选是打击任务完成的关键,为了提高目标选择的快速性和准确性,更好地发挥舰炮的作战效能,通过将勾股模糊集和基于正弦函数的直觉模糊集相似度相结合,提出了基于余弦函数的勾股模糊集相似度,并引入四种勾股模糊相似度测量公式的计算模型。将基于余弦函数的勾股模糊集相似度这种新理论应用到评估新打击目标,重新量化排序,从而对打击目标的快速优选提供了一种全新的方法,具有一定的实用价值,且易于编程简化操作。

The naval gun is taking on more and more important combat task in the naval battle. In order to further improve the combat effectiveness of naval gun and maximize the benefit of target attack,the similarity measure of intuitionistic fuzzy sets on sine function and pythagorean fuzzy sets are combined,similarity measure of pythagorean fuzzy sets based on cose function is proposed.Four kinds of fuzzy similarity measurement formulas are introduced. This paper applies the new theory of pythagorean fuzzy set similarity based on cosine function to the quantitative ranking of new target selection of naval gun. Therefore,it provides a new method for the quickly selection of attacking new target for naval gun,which has certain practical value and is easy to be programmed and operated.