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基于区间证据推理的不确定性航线配船方法 被引量:1

A ship routing method based on the evidence reasoning approach using interval belief degrees
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摘要 为弥补不确定性航线配船模拟算法的不足,提出一种基于区间证据推理的航线配船解析算法.该方法以证据推理理论为基础,以船舶公司期望效用最大化为目标,考虑航线特征及船舶属性等因素,构建出一个多航线、多船型的航线配船模型.与目前的模拟算法相比,该方法具有稳定性好、准确性高、可以处理模糊数据等优点.最后,通过算例验证了模型的可行性和方法的有效性. To solve the instability of the simulation algorithm in the ship routing, this paper pro poses an analytic approach based on the interval evidence reasoning and Hungarian algorithm. The proposed approach uses two pairs of nonlinear optimization models for constructing an as signment model to compute the matching order and the maximum utility of the shipping company, and proposed a method to choose the different assignment sequences. Compared to the simulation algorithm, the analytic algorithm is more stable and efficient. Finally, its feasibility and efficiency is proved by examining a cargo ship routing.
作者 徐屹嵩
出处 《山东理工大学学报(自然科学版)》 CAS 2014年第2期62-69,74,共9页 Journal of Shandong University of Technology:Natural Science Edition
基金 国家杰出青年科学基金资助项目(70925004)
关键词 证据推理 区间信度结构 航线配船 指派问题 the evidence reasoning approach interval belief degrees ship routing the assign-ment problem
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  • 1Gu Yuhua, Kumar V, Hall L O, et al. Automated delinea- tion of lung tumors from CT images using a single click en- semble segmentation approach [ J ]. Pattern Recognition, 2013,46 ( 3 ) :692-702.
  • 2Yuan Hongxing, Wu Shaoqun, Cheng Peihong, et al. Nonlo- cal random walks algorithm for semi-automatic 2D-to-3D im- age conversion[J]. IEEE Signal Processing Letters, 2014,22 (3) :371-374.
  • 3Yang Jian-Bo, Xu Dong-Ling. Evidential reasoning rule for evidence combination [ J]. Artificial Intelligence, 2013, 205 : 1-29.
  • 4Ning Jifeng, Zhang Lei, Zhang David, et al. Interactive image segmentation by maximal similarity based region merging [ J ]. Pattern Recognition, 20 l 0,43 ( 2 ) : 445 -456.
  • 5Peng Bo, Zhang Lei, Zhang David, et al. Image segmenta- tion by iterated region merging with localized graph cuts [ J ]. Pattern Recognition, 2011,44 ( 10-11 ) :2527-2538.
  • 6Cheng Yizong. Mean shift, mode seeking, and clustering[ J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995,17 (8) :790-799.
  • 7Newell A J, Griffin L D. Writer identification using orien- ted basic image features and the delta encoding [ J ]. Pat- tern Recognition, 2014,47 (6) :2255-2265.
  • 8Zhang Xiaoqin, Hu Weiming, Chen Shengyong, et al. Graph-embedding-based learning for robust object tracking [J]. IEEE Transactions on Industrial Electronics, 2013, 61 (2) : 1072-1084.
  • 9胡敏,蔡慧芬.基于形态学标记连通的分水岭图像分割[J].电子测量与仪器学报,2011,25(10):864-869. 被引量:46
  • 10高颂,李富栋.图像边缘提取的区域联合分割与主动轮廓模型[J].激光与红外,2013,43(1):94-97. 被引量:6

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