ID 原文 译文
14055 最后联合后验概率和局部可信度构造基本概率赋值函数,对各基分类器识别结果进行DS融合判决。 Finally‚posterior probability and local credibility are combined to construct the Basic Probability Assignment(BPA) function‚and a DS fusion decision is made for the recognition results of each base classifiers.
14056 仿真结果表明,融合识别方法能够平衡各基分类器识别结果,当SNR为0 dB、JSR大于5 dB时,平均识别率超过95%。 The simulation results show that the fusion method can balance the recognition results of each base classifiers.When the SNR is 0 dB and the JSR is greater than 5 dB‚the average recognition rate is over 95%.
14057 针对在设置空战威胁评估指标权重时,无法完全体现威胁评估数据的客观性以及主观赋权方法对确定权值所带来的主观影响等问题,提出了一种运用AHP方法与CRITIC方法相结合的赋权方法。 When setting the weights of the indexes of threat assessment in air combat‚the objectivity of threat assessment data can't be fully reflected,and the subjective weighting method will affect the results of weight determination. To solve the problems‚a weighting method combining the AHP method with the CRITIC method is proposed.
14058 通过利用AHP方法综合专家对指标权重的判断,再根据CRITIC方法确定客观数据间的联系,实现对威胁评估指标的组合赋权。 The method uses the AHP method to synthesize the experts' judgment of index weights first‚and then determines the relationship between the objective data according to the CRITIC method‚so as to realize the combination weighting of threat assessment indexes.
14059 然后利用VIKOR方法,通过实例仿真进行空战威胁评估。 Then‚the VIKOR method is used to assess the threats in air combat through the simulation of an example.
14060 最后,考虑不同决策者主观偏好,设置不同VIKOR方法属性值,得到不同目标威胁评估结果,进行对比分析。 Finally‚taking into account the subjective preferences of different decision makers‚the method sets different attribute values of the VIKOR method to obtain different results of target threat assessment for comparative analysis.
14061 通过仿真验证证明该方法具有一定实用性。 The simulation results show that this method has certain practical values.
14062 针对当前小样本测试性评估方法中,丰富的先验信息无法得到充分利用,评估结论置信度低的问题,提出了一种新的基于Bayes理论的测试性综合评估模型。 In the current testability evaluation methods‚rich priori information cannot be fully utilized under the condition of small samples‚which will result in a low-confidence conclusion. To solve the problem‚a new and integrated testability evaluation method based on Bayes theory is proposed.
14063 在求得5类先验Beta分布参数的基础上,采用K-L信息距离理论计算融合权重,进而得到混合先验分布。 Firstly‚five kinds of priori information are analyzed‚and the parameters of corresponding priori Beta distribution are obtained. Then‚the combined weight is calculated by adopting the theory of K-L information distance‚so as to obtain the mixed priori distribution.
14064 以此混合分布作为最终的验前分布,结合现场试验数据开展Bayes评估,并给出实例应用。 Finally‚the mixed distribution is taken as the final priori distribution‚so as to conduct Bayes assessment by using field test data‚and an example application is given.