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作 者:杨罗章 胡生亮[1] 冯士民 Yang Luozhang;Hu Shengliang;Feng Shimin(School of Weaponry Engineering,Naval University of Engineering,Wuhan 430033,China)
出 处:《兵工自动化》2020年第3期53-56,60,共5页Ordnance Industry Automation
基 金:国家自然科学基金资助项目(61365007)。
摘 要:为解决在目标威胁评估方法中,确定各属性的权重时受主观因素和高机动目标影响大的问题,提出一种改进的多属性决策目标威胁评估方法。综合模糊理论和多属性决策理论,通过构造隶属度函数规范化属性值,基于熵值法求解属性权重,应用TOPSIS理论进行目标威胁评估,构建不同的态势实例,采用静态数值计算和动态模拟仿真的方法对算法进行验证。仿真实验结果验证了该方法的合理性和有效性。For solving the problem of attribute weights are greatly affected by subjective factors and high maneuvering targets in the target threat evaluation, an improve multi-attribute decision target threat evaluation method was proposed. By combing the fuzzy theory with multi attribute decision rules, membership functions were constructed to normalize the attribute values and weights of attribute were calculated by entropy method. Then target threat evaluation was carried out by using TOPSIS rules and different situation instance examples were established. Use static numerical calculation and dynamic simulation method to verify method. The simulation experiment results proved the proposed method is reasonable and effective.
关 键 词:威胁评估 隶属度函数 熵 TOPSIS理论 动态评估
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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