LAUSR

Modern warfare has become confrontations between opposing combat systems. Determining damage to systemic targets (STs) is critical to effective decision-making and operational planning. Entities in an ST have their own functions, and different functions interact with one another to execute tasks. The ST can be abstracted as a combat functional network by abstracting the functions of entities as nodes and the relations between functions as edges. The collaborative behavior of different functions is defined in the efficacy loop model. Multiple network damage indicators are selected, modified, or newly designed from different aspects, and these indicators are aggregated without interference from subjective factors to obtain the composite damage index (CDI). Finally, the effectiveness of CDI is validated and compared with other methods in the case study. In various damage scenarios, this method is able to effectively obtain damage results and bring useful insights to combat operations.