Abstract
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.
Highlights
Unmanned aerial vehicles (UAVs) are named such as remotely piloted vehicles, drones, robot planes, and pilotless aircraft, and in many ways
This paper proposes a novel model for UAV selection, which aims to overcome the complexity of the UAVs’ evaluation process. e integrated analytic hierarch process (AHP)-TOPSIS methods that are multicriteria decision-making methods are used for the selection process. ese methods include a simple analytic process and basic calculations. e hybrid model proposed has a lower level of computational complexity, which facilitates its practical application
Analysis of the solution using Spearman’s rank correlation test ese criteria are wingspan (C1), length (C2), payload capacity (C3), endurance (C4), cruise speed (C5), operational altitude (C6), and range (C7). ese criteria are important for UAVs
Summary
Unmanned aerial vehicles (UAVs) are named such as remotely piloted vehicles, drones, robot planes, and pilotless aircraft, and in many ways. UAVs became an important element of many modern militaries and various civilian areas. Demands have been increasing for a variety of types of unmanned vehicles due to their success on battlefields. They have capabilities such as persistent surveillance, tactical and combat reconnaissance, resilience together with its low benefit risk, and low cost. Increasing use of these vehicles is rising alongside increasing demands for battlefield intelligence, tighter defence budgets of countries, faster operation tempos, and lowered tolerance for casualties in the defence area. Turkey is developing UAVs for defence and civilian usage
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