在多选择的基础上,得到了最优的无人机维修周期

A. Goncharenko
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引用次数: 27

摘要

尝试利用引入的混合可选函数熵极化方法,寻找一种确定无人机维修最优周期的新方法。原型方法是使用由V. A. Kasianov教授(乌克兰基辅国立航空大学)提出的替代个人偏好最优分布和偏好主观熵最大原则。在完全非概率的基础上得到了无人机维修的最优周期。通过实例计算实验说明了理论推测。必要的图表已经画好了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal UAV maintenance periodicity obtained on the multi-optional basis
It is made an attempt to find some new method for an unmanned aerial vehicle maintenance optimal periodicity determination with the help of specifically introduced hybrid-optional functions entropy extremization. The prototypic approach is the use of alternatives individual preferences optimal distributions and the preferences subjective entropy maximum principle, proposed by Professor V. A. Kasianov (National Aviation University, Kyiv, Ukraine). It is obtained the optimal periodicity for an unmanned aerial vehicle maintenance on the entirely not probabilistic basis. Theoretical speculations are illustrated with the example calculation experiments. The necessary diagrams are plotted.
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