Multi-source military knowledge fusion based on improved BPSO algorithm
Hui Peng, Menglan Huo, Qing Jie · 2016
Knowledge is an important foundation for military command and decision, multi-source knowledge fusion is considered as an effectively way to enhance the using of knowledge in decision support systems. A framework of multi-source military knowledge fusion was established, then, an improved binary particle swarm optimization (BPSO) based multi-source military knowledge fusion algorithm was presented. Simulation results show that our method extends the content of the original single domain knowledge base, and improved BPSO method can formed a fusion knowledge with standardized unified expression, which is more conducive to help commanders to make quick and efficient decision.