The Evaluation of Multi-sensors of UAV Fusion Based on Different Forms of Fuzzy Preference Information

For the complex information environment, in order to improve the operational effectiveness and operational indicators of the UAV (unmanned aerial vehicle), multi-sensors system of UAV can be chosen. However, the correct selection of sensor fusion system is the key of UAV mission. To solve this problem, a group decision making method based on different forms of fuzzy preference information is proposed. This paper describes four forms of preference information, and gives the computational formulas to transform other forms of preference information into the form of reciprocal judgment matrix. Then, all the unified information is aggregated to give the order of multi-sensors system set of UAV. The result shows that the method is feasible and effective, it has a reference value for constitute data fusion evaluation system.