ID 原文 译文
50767 测试表明，该方法构造的径向基模型具有良好的近似精度和较高的计算效率，具有推广的价值。 Tests show that this method constructed RBF model has good approximation accuracy and high computational efficiency, the value of popularization.
50768 针对多属性决策中属性间的关联性对决策结果的影响，提出了基于区间灰数灰度和Choquet积分的区间灰数多属性决策方法。 For the correlation between attributes in multiple attribute decision making on the result of the decision, is presented based on the interval grey number of gray level and Choquet integral interval grey Numbers multiple attribute decision making method.
50769 根据区间灰数灰度的定义，证明了区间灰数的灰度是一种灰测度，由此定义了关于区间灰数灰度的离散Choquet积分并证明其性质; Based on the definition of interval grey number of gray levels, proving that the gray level of interval grey number is a kind of grey measure, which defines the discrete Choquet integral of interval grey number of gray level and prove their properties;
50770 依据各方案的综合属性值的方差最小的原则建立多目标优化模型， Comprehensive attribute value of each scheme based on the principle of minimum variance multi-objective optimization model is established,
50771 确定了各属性或属性集的权重， and determine the weight of each attribute or attribute set,
50772 最后利用Choquet积分对各方案的效果评价向量进行集成。 and finally use Choquet integral evaluation of the effects of each scheme vector for integration.
50773 通过实例说明了该方法的有效性。 Through the example illustrates the effectiveness of the method.
50774 由于临近空间高超声速目标的机动形式复杂，单一模型很难满足高精度跟踪的需要。 Due to the complexity of near space hypersonic target maneuver, a single model is difficult to meet the needs of high precision tracking.
50775 因此需要使用基于多种模型进行交叉耦合的交互式多模型算法，这种算法特点与临近空间目标高速、高机动特性相适应。 So you need to use cross coupling of the interactive multiple model based on multiple model algorithm, this algorithm features and near space target corresponds to a high speed and high mobility characteristics.
50776 提出了一种自适应网格交互多模型跟踪算法用于临近空间高超声速机动目标的跟踪问题。 Puts forward an adaptive grid interacting multiple model tracking algorithm for near space hypersonic maneuvering target tracking problem.