Evalution of UAVs With MCDM Methods for Border Security And Intervention

Abstract

An Unmanned Aerial Vehicle (UAV) is a motorized aircraft that does not carry a person using it, can use aerodynamic forces to create lift, can fly by itself or can be managed remotely, can be reused or not, and is capable of carrying deadly or non-lethal payloads. With the rapid development of technology, the capabilities of UAVs have increased at the same rate and they have started to be used in many military missions. However, having these modern advanced aircraft is not enough to achieve military success. It is essential to plan the use of systems suitable for the type of mission in order to increase the performance of the missions and win the war by capturing area dominance. With such planning, the success rate in tasks will increase and the user will gain superiority. In this study, 9 different types of UAVs in the inventory of advanced armies were evaluated with multi-criteria decision making (MCDM) methods to fulfill their border security and intervention duties. These 9 UAVs vary in size, type, capability, etc. differ from each other in all aspects. The purpose of this study is to determine the sequence of the suitable UAV for the determined mission. The criteria used in the study were evaluated with experts on UAVs and grouped under 8 main headings. In order to weight the criteria, pairwise comparisons were made and the criteria weights were determined by the AHP method. In order to rank and select UAVs, ARAS, EDAS and WASPAS methods, which have been introduced to the literature in recent years, and MAUT, TOPSIS and VIKOR methods, which are frequently used in the literature, were used. Thus, it has been tried to develop a solution with a different perspective by using both old methods and new methods. The prioritization results from the applied methods were analyzed and the results were normalized and the averages were found, and the final integrated prioritization score (NBÖP) of each UAV was obtained. Thus, it is aimed to increase the reliability, accuracy and consistency levels of the prioritization values. The results obtained as a result of the applied methods are interpreted.