Title :
Research on Sensitivity Analysis of Operational Effectiveness Based on LS-SVM
Author :
Li, Guo-Lin ; Dong Li ; Qu, Zhao-Hui ; Qin, Miao
Author_Institution :
No.7 Dept., Naval Aeronaut. & Astronaut. Univ., Yantai, China
Abstract :
In efficiency analysis of weapon system, in order to capture and represent the decision maker´s preferences and then to select the most desirable alternative, sensitivity analysis method of operational effectiveness based on LS-SVM is proposed. Firstly, the principle of effectiveness evaluation method based on LS-SVM is discussed. Secondly, to extract learning samples from the MADM problem, 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 sensitivity analysis method of operational effectiveness based on LS-SVM is presented. The proposed method has less number of parameter and is simple and reliable, comparing with SVM. In the end, an example demonstrates the method is feasible and availability.
Keywords :
least squares approximations; military computing; particle swarm optimisation; sensitivity analysis; support vector machines; weapons; LS SVM; MADM problem; operational effectiveness; particle swarm optimization; sensitivity analysis; weapon system; Arithmetic; Decision making; Difference equations; Differential equations; Learning systems; Least squares methods; Machine learning; Sensitivity analysis; Support vector machines; Weapons; effectiveness evaluation; least square support vector machine (LS-SVM); sensitivity analysis; weapon equipment;
Conference_Titel :
Information and Computing (ICIC), 2010 Third International Conference on
Conference_Location :
Wuxi, Jiang Su
Print_ISBN :
978-1-4244-7081-5
Electronic_ISBN :
978-1-4244-7082-2
DOI :
10.1109/ICIC.2010.172