一类面向多属性评价的广义聚合算子MAAO

多属性评价问题中不确定性、不精确性和非独立性导致的非可加性以及可鉴别性是评价中的难点问题.本文基于模糊测度和模糊积分提出一种广义的多属性聚合算子,给出了形式化表达、性质分析和多维描述.该算子能够聚合得到解决上述问题的综合评价结果,对于建立切合实际的定量化评估方法具有较好的现实意义.     

基于IWOGA算子的公路客运量组合预测模型

客运量预测是进行公路网规划的必要环节和计算公路经济效益的基础。为了提高公路客运量的预测精度,在现有客运量预测模型基础上,采用IOWGA算子将三次指数平滑、GM（1,1）预测和BP神经网络结合起来,建立组合预测模型,并以全国公路客运量为例,验证预测结果的精度。分析计算结果,将该模型所得结果与其它常用方法相比,与实际客运量之间相差较小,预测精度较好,可以作为预测公路客运量的有效方法。     

θ型奇异积分算子在加权Morrey空间中的有界性

设θ(t)是连续模,T是带有θ型Calderón-Zygmund核的奇异积分算子。若w Ap,1相似文献   

修正型Lupas—Baskakov积分算子的逼近性质

引入了修正型Lupas-Baskakov积分算子,它是由Lupas算子和Baskakov算子复合而得到的。通过分析和研究修正型Lupas-Baskakov算子的性质,给出了该类算子的VonorovsKya渐近表达式,确定了此类算子饱和阶及平凡类,最后建立了修正型Lupas-Baskakov积分算子的饱和定理。     

船舶机舱自动化系统的发展趋势研究

简要回顾了船舶机舱自动化系统的发展历程,从技术进步的角度阐述了船舶机舱自动化的最新进展和发展方向,同时对一个典型的最新型自动化系统进行了简要分析。     

提高GMDSS培训质量,输送合格通信人员

文章介绍了GMDSS培训的现状,根据培训出现的问题,提出了提高GMDSS培训质量的相关对策。     

基于LBP算子的路面类型识别研究

不同的路面类型会对车辆的制动、加速、变道等决策产生不同影响,因此实时获取路面类型信息对于提高智能汽车的安全性、舒适性等有着重要意义。论文提出一种基于LBP算子的路面类型识别方法,首先采集了四种车辆行驶常见路面的图像信息,并对图像进行了增广处理;然后使用LBP算子提取出路面图像的纹理特征,再采用PCA方式对纹理特征进行降维;最后通过分类器对数据进行训练与分类。实验结果表明该方法的最高分类准确率可以达到98.5%,有效提升了当前路面类型识别的精度。     

Forecasting journey time distribution with consideration to abnormal traffic conditions

Travel time is an important index for managers to evaluate the performance of transportation systems and an intuitive measure for travelers to choose routes and departure times. An important part of the literature focuses on predicting instantaneous travel time under recurrent traffic conditions to disseminate traffic information. However, accurate travel time prediction is important for assessing the effects of abnormal traffic conditions and helping travelers make reliable travel decisions under such conditions. This study proposes an online travel time prediction model with emphasis on capturing the effects of anomalies. The model divides a path into short links. A Functional Principal Component Analysis (FPCA) framework is adopted to forecast link travel times based on historical data and real-time measurements. Furthermore, a probabilistic nested delay operator is used to calculate path travel time distributions. To ensure that the algorithm is fast enough for online applications, parallel computation architecture is introduced to overcome the computational burden of the FPCA. Finally, a rolling horizon structure is applied to online travel time prediction. Empirical results for Guangzhou Airport Expressway indicate that the proposed method can capture an abrupt change in traffic state and provide a promising and reliable travel time prediction at both the link and path levels. In the case where the original FPCA is modified for parallelization, accuracy and computational effort are evaluated and compared with those of the sequential algorithm. The proposed algorithm is found to require only a piece rather than a large set of traffic incident records.     

正紧算子刻划Banach格l_1

本文证明了Banach格E的一个正规化基{x_n}是格等价于l_1的自然基{e_n}的充要条件是每一Banach格F到E内的正紧算子T都有形如 Tx=∑x_n的表达式,其中∑a_n是F’中w~*-无条件收敛级数,且a_n≥0。一些相关的结果也略加讨论。     

基于剩余蕴涵的模糊三I方法的支持度

利用连续三角模导出剩余蕴涵算子，根据三角模和剩余蕴涵算子的性质，得出了满足一定条件的该类算子的三I算法．分析了在该类算子下的支持度理论，并推导了一般化的α-三IFMP和α-三IFMT公式．