摘要
针对传统TOPSIS方法在处理不确定空战态势信息方面的不足,提出了基于IFE的改进TOPSIS的空战多目标威胁评估方法。首先运用直觉模糊集确定目标属性决策矩阵;然后采用IFE算法对目标属性赋权;最后将TOPSIS法与直觉模糊集相结合,建立基于直觉模糊TOPSIS法空战多目标威胁评估的数学模型,并进行了仿真研究。仿真结果表明,评估结果符合实际空战情况,算法合理、有效。
In view of the traditional TOPSIS methods are difficult to deal with uncertain information on theair combat situation. A method of improved TOPSIS based on IFE in evaluating sequence of air multi-target threat was proposed. Firstly, it employed the theory of intuitionistic fuzzy sets to determine the targetattribute decision matrix. Then, adopt IFE algorithm empower to different indices of every target. Final-ly, the mathematical model for evaluating sequence of air multi-target threat based on IFE improved TOP-SIS is established combining TOPSIS and intuitionistic fuzzy sets, and simulation study is performed.Simulation results show that the evaluation results are consistent with the actual situation and the methodis reasonable and effective.
出处
《飞行力学》
CSCD
北大核心
2014年第3期281-284,共4页
Flight Dynamics
基金
航空科学基金资助(2011553021)
西北工业大学基础研究基金资助(JC20110222)
关键词
直觉模糊集
逼近理想解排序法
多目标
威胁评估
intuitionistie fuzzy sets
technique for order preference by similarity to ideal solution
multi-target
threat assessment