基于区间灰度的无人机航迹择优评价方法研究

本文给出一种基于区间灰度评价理论的无人机多航迹方案择优方法,提高了不确定飞行环境下,无人机航迹择优的精度和可靠度.针对无人机多航迹方案择优中存在的不确定性和威胁信息获取的不完全性,本文将反映不确定性的区间数,与刻画信息获取量的灰度组成的二元有序对,作为新的评价标度-区间灰度,并定义了决策结果可靠度指标;接着构建了基于区间灰度评价标度的无人机航迹方案择优方法.在无人机航迹规划方案的择优实证分析中,对比仿真了本文方法与区间决策方法,仿真结果表明:本文方法不仅能有效提升最优方案分别与次优和最差方案评价指标的离差,减少决策者的犹豫度;还能提供决策结果的可靠度信息,增加决策信心.

UAV path planning optimal selection method based on interval gray scale

To improve the accuracy and reliability of the unmanned aerial vehicle (UAV)'s optimal path selection, a new optimal path selection method based on interval gray scale is proposed under the environment of uncertain flight surroundings and unknown security threat information. This paper established a new evaluating scale-interval gray, it is containing interval number and grey number. In which, the interval number is used to describe the uncertainty existing in the evaluation process, and the grey number is applied to describe the quantity of information. A reliability index of decision result is defined simultaneously. Then, UAV's path planning optimal selection method is proposed based on interval grey scale. A comparative simulation between the method proposed in this paper and interval decision method is given. The results show that the method proposed in this paper not only can improve the dispersion of evaluation index between the optimal alternatives and the subprime or the worst alternatives effectively, and reduce the degree of hesitation for decision-maker, but also can provide the reliability information for decision-making results, to increase the decision confidence.