不同赋权TOPSIS制导系统设计决策比较

摘要

制导系统属于复杂非线性动力学系统，其设计参数决策需要结合系统仿真结果完成。对比研究了TOPSIS决策机制下采用经验赋权、层次分析法赋权和熵值赋权的制导系统设计参数决策问题。通过三种赋权方法决策的相对贴近度和极差结果分析，证实熵值赋权方法能正确反映系统动力学特性的复杂性，决策的可靠性好，而层次分析法赋权和经验赋权决策由于包含的主观因素很难正确反映设计参数对系统性能的本质性影响，不易得到最优决策结果。%Guidance system is a kind of complex nonlinear dynamical system,whose design parameters' decision needs to be combined with system simulation results. The empirical weight,AHP weight and entropy weight based on the TOPSIS decision-making mechanism are comparatively studied for decision making of guidance system design parameters. By analysing the rela-tive closeness degree and range of the three weighting methods,the results demonstrate that the entropy weighting method can correctly reflect the complexity of dynamical characters of guidance system and show high reliability of the decision. However, empirical weighting and AHP weighting which contain subjective factors are difficult to correctly reflect the essential influence of design parameters on the system performance,so the optimal decision results is not easy to obtain.