Research on Evaluation Method of Weapon Equipment Based on LS-SVM with Parameters Optimization

In efficiency analysis of weapon system, in order to achieve and represent the preferences of decision maker and make the most optimum selection, an efficiency evaluation method of weapon equipment based on LS-SVM with parameters optimization is proposed. Firstly, the principle of efficiency evaluation method based on LS-SVM is discussed. Secondly, to learn samples from the MADM problem extractly, an approach to estimate the utility functions for attributes is presented. An optimal selection approach of LS-SVM parameters (¿, ¿) was put forward based on particle swarm optimization (PSO) algorithm. Finally, the implementation algorithm of efficiency evaluation method based on LS-SVM with parameters optimization is presented. The proposed method is simple and reliable with less number of parameters, comparing with SVM. In the end, an example is quoted to demonstrate that the method is feasible and available.