ID	原文	译文
7384	最后采用基于云距离测度算法的云-TODIM方法计算每个方案相对于其他所有方案的总体优势度,从而对方案排序。	Finally the cloud - based on cloud distance measure algorithm TODIM method to calculate each plan overall advantage compared to all other degrees, thus the ranking.
7385	以云服务供应商的评价与选择为例,验证了所提方法的有效性。	Cloud service supplier evaluation and selection, for example, to verify the effectiveness of the proposed method.
7386	为了实现红外复杂背景下弱点目标的有效检测,提出了形态学Top-hat变换和改进的非线性扩散(以Perona-Malik(PM)的研究为基础)模型相结合的滤波算法,用于增强红外弱小目标信号、抑制复杂背景和噪声。	In order to achieve effective dim-point targets detection under complicated background infrared, morphology of Top - hat transform and improved nonlinear diffusion (to Perona Malik (PM)) on the basis of the research model of combining the filtering algorithm, used to enhance the infrared weak target signals, inhibition of complex background and noise.
7387	该方法首先利用形态学滤波中的Top-hat算子对图像进行目标增强,然后对形态学滤波后的图像采用改进的PM滤波器进行进一步滤波达到抑制背景突出目标的目的,最终通过阈值分割实现弱小目标的检测。	This method first, a Top - hat operator of morphology filter is used to target image enhancement, and then the images with the improved morphological filtering, PM filter suppressing background targets for further filtering, finally achieved by threshold segmentation of weak small targets detection.
7388	对比实验结果表明,该算法能够在低信噪比(signal-to-noise ratio,SNR)下实现红外弱小目标图像的背景及边缘有效抑制、使图像的信噪比提高20%,检测能力在原有算法上提高了40%。	Contrast experiment results show that the algorithm can in low SNR (signal - to - noise thewire, SNR) under the background of infrared dim-small target image, and the edge effectively restrain, to improve image signal-to-noise ratio by 20%, ability on the original algorithm is improved by 40%.
7389	针对不确定时间序列(uncertain time series,UTS)的模体发现(motif discovery,MD)问题,提出了基于粒子群(particle swarm optimization,PSO)的UTS MD算法。	In view of the uncertainty of time sequence (in all time series, UTS) die bodies found (motif discovery, MD), is proposed based on particle swarm (particle swarm optimization, PSO) UTS MD algorithm.
7390	该算法根据UTS的特点,设计了基于PSO的UTS MD的研究框架,并通过对时间序列片段的起始时刻和持续时间进行编码和修正,实现了在该框架下对UTS的MD。	The algorithm according to the characteristics of the company, design the research framework based on PSO UTS of MD, and through the starting time and duration of time sequence clip is encoded and correction, implemented under the framework of UTS MD.
7391	在实验中,针对所提出的算法,验证了其可行性,比较了其与MK、MOEN算法在运行时间、占用内存和收敛性方面的性能,并分析了其MD准确率。	In the experiments, in view of the proposed algorithm, and verify its feasibility, compared with the MK, MOEN algorithm convergence at run time, memory, and in terms of performance, and analyses the MD accuracy.
7392	结果表明所提方法占用较少内存与运行时间,可以发现不同长度的模体,且具有收敛性和较高的准确率。	The results show that the proposed method takes up less memory and running time, can find different length of die bodies, and has convergence and high accuracy.
7393	为解决犹豫模糊集(hesitant fuzzy set,HFS)隶属度数值个数不一致的问题,讨论了现有数值延拓(numerical extending,NE)方法的局限性,提出基于Normative算子的HFS NE方法。	To solve the hesitant fuzzy sets (hesitant fuzzy set, HFS) membership is inconsistent with the numerical number problem, discusses the existing numerical continuation (numerical extending, NE) the limitations of method, is put forward based on the Normative operator HFS NE method。