Electronic Warfare UAV Combat Effectiveness Evaluation Based on GrC-Elm

To increase the combat capability of Electronic Warfare Unmanned Air Vehicle (EWUAV), a combat effectiveness evaluation method is proposed based on Granular Computing (GrC) and modified Extreme Learning Machine (ELM). In the method, the combat effectiveness evaluation index system of EWUAV is constructed through statistical analysis, then using the reduction function of GrC key factors are extracted from many indices, finally the model of EWUAV combat effectiveness evaluation is established through ELM optimized by bat algorithm. Simulation results show that the method provides an effective solution for EWUAV combat effectiveness evaluation.