The unmanned systems have been seeing a significant boom in the last ten years in different areas together with technological developments. One of the unmanned systems is unmanned aerial vehicles (UAVs). UAVs are used for reconnaissance and observation in the military areas and play critical role in attack and destroy missions. These vehicles have been winning more features together with developing technology in todays world. In addition, they have been varying with different features. A systematic and efficient approach for the selection of the UAV is necessary to choose a best alternative for the critical tasks under consideration. The multicriteria decision-making (MCDM) approaches that are analytic processes are well suited to deal intricacy in selection of alternative vehicles. This study also proposes an integrated methodology based on the analytic hierarch process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) to evaluate UAV alternatives for selection process. Firstly, AHP, a MCDM method, is used to determine the weights of each critical factor. Subsequently, it is utilized with the TOPSIS approach to rank the vehicle alternatives in the decision problem. Result of the study shows that UAV-1 was selected as the most suitable vehicle. In results, it is seen that the weights of the evaluation criteria found by using AHP affect the decision-making process. Finally, the validation and sensitivity analysis of the solution are made and discussed.

中文翻译：

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基于多准则防御的无人机选择

在过去的十年中，随着技术的发展，无人驾驶系统在各个领域都取得了巨大的发展。无人系统之一是无人飞行器（UAV）。无人机用于军事领域的侦察和观察，并在攻击和摧毁任务中发挥关键作用。在当今世界上，这些车辆与开发技术一起赢得了更多功能。此外，它们具有不同的功能。为了选择正在考虑的关键任务的最佳替代方案，有必要选择一种系统有效的无人机选择方法。作为分析过程的多准则决策（MCDM）方法非常适合解决替代车辆选择中的复杂问题。这项研究还提出了一种基于层次分析法（AHP）和类似于理想解决方案（TOPSIS）的订单偏好技术的集成方法，以评估无人机的选择过程。首先，AHP是一种MCDM方法，用于确定每个关键因素的权重。随后，它与TOPSIS方法一起用于对决策问题中的车辆替代方案进行排名。研究结果表明，UAV-1被选为最合适的载具。结果表明，使用AHP确定的评估标准的权重会影响决策过程。最后，对解决方案进行了验证和敏感性分析。