The applications of unmanned aerial vehicles (UAVs) in military and civilian service domains have exhibited unprecedented growth in the last decades. However, the sophisticated and expensive UAVs are susceptible to multiple faults, such as wear and tear, noise, or software-control failures. The mutual recognition of community opinion in fuzzy multiple attribute group decisionmaking (FMAGDM) is an efficient way to solve a complex system. However, whether it can be utilized to evaluate the fault of the power system of UAVs has not been examined yet. This paper studies the evaluation towards the fault of the power system of UAVs under interval-valued intuitionistic fuzzy (IVIF) numbers with an improved FMAGDM. A new algorithm is proposed to achieve a desirable consensus in group decision-making. In contrast to the commonly used method, the proposed method comprehensively evaluates the fault of the power system of UAVs and basically gives an optimal consensus decision-making without modifying many elements.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.