Research on human-machine function allocation based on ULMADM methodology

In the process of manned-unmanned coordinated combat, in order to give full play to the pilot's command advantages and the advantages of autonomous decision-making of manned aircraft and unmanned aircraft, it is necessary to reasonably allocate the decision-making functions among the three, so as to enable the system to give full play to the maximum combat effectiveness. This study takes the pilot-manned aircraft-unmanned aircraft in the manned-unmanned coordinated combat system as the research object, constructs the man-machine and machine-machine automation hierarchies, and combines the Uncertainty Linguistic Multi-Attribute Decision Making (ULMADM) method for the allocation of man-machine functions for typical combat tasks. The method takes the respective capability advantages of man-machine as inputs, and compared with the traditional qualitative analysis, ULMADM can give the optimal automation level after comprehensively evaluating the combat scenario conditions related to the target functions.