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作 者:余仁波[1] 徐廷学[2] 顾钧元[1] 赵建忠[1]
机构地区:[1]海军航空工程学院研究生管理大队,山东烟台264001 [2]海军航空工程学院兵器科学与技术系,山东烟台264001
出 处:《兵工自动化》2011年第9期35-37,共3页Ordnance Industry Automation
摘 要:针对导弹保障方案决策特点,研究基于Vague集的逼近理想解排序方法。采用模糊语言变量对保障方案的各个指标进行赋值,并给出模糊语言变量的Vague值含义和Vague集之间的欧氏距离定义;运用记分函数来确定正理想解和负理想解,建立基于Vague集的TOPSIS模型,并通过实例进行验证。结果表明:Vague集能部分模拟人类的决策过程,有效处理不完全和不精确的信息;基于Vague集的TOPSIS方法应用较合理,计算较简便。Aiming at the characteristic of the decision making for support concept of missile, the technique for order preference by similarity to ideal solution (TOPSIS) method based on Vague collection was researched. The assignment of the indexes using fuzzy language variable, and get to the Euclidean distance define between Vague value and Vague collection of fuzzy language variable, it adopted the score function to get the positive ideal solution and negative ideal solution. The TOPSIS model based on Vague collection was established. Finally, the model was demonstrated through an illustration. It was proved that Vague collection could partially analog the decision-making process of human and could well process the incomplete and inaccuracy information. The TOPSIS method based on Vague collection was rational and simple.
分 类 号:TJ760.7[兵器科学与技术—武器系统与运用工程]
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