RAPID SELECTING UAVs FOR COMBAT BASED ON THREE-WAY MULTIPLE ATTRIBUTE DECISION

Abstract

Unmanned aerial vehicles (UAVs) can carry out more and more dangerous missions and strike deep in the skies over hostile military sites. Thus, selecting appropriate UAVs to attend combat through rapid assessment is a hot topic in current research. In consideration of formulating practical evaluation as a three-way multiple attribute decision making (MADM) problem, a comprehensive assessment method based on interval-valued intuitionistic fuzzy set (IVIFs) is introduced under the context of determining the precision combat mission. First, the critical attributes of the UAV combat effectiveness are determined according to battlefield intelligence. Second, the attribute weights are computed by exploring the feature information of attribute orders given by experts. Third, the conditional probability a UAV may be selected to fight is calculated in accordance with an improved IVIFs score function. Then the UAVs' classification results of three-way decisions are obtained by setting the risk avoidance coefficients. Finally, the validity of the given method is proved throughout the decision-making process of selecting UAVs in a combat mission.