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基于粒计算的物流节点选址理论建模 被引量:2

Theoretical Modeling Based on Granular Computing in Logistics Nodes Location
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摘要 首先对物流节点进行了三维界定,从物流节点选址问题的特点及人的决策思维模式,以客观数据为出发点,以"有限理性"、"有限记忆"、"群体决策"和"粒计算"为理论基础,提出了金字塔理论架构,并应用于物流节点选址问题,进而提出了数据挖掘模型。该模型与选址的决策思维过程相适应,具有很好的理论指导意义。 The paper firstly cireumscribes a new concept of the logistics node from the three-dimensional aspect. Accord-ing to the characteristics of the logistics node and the nature of human decision-making, it puts forward a theoretical framework of pyramid, which starts from objective data and is based on " bounded rationality", "limited memory", " group decision" and " granular computing". Simultaneously, it pre- sents the application framework of logistics location from the process of the decision-making thought and the point of view of data mining, which can provide the reference pattern and standardized application flow for the pyramid model under the actual scenario of logistics location.
作者 张丽岩 马健
出处 《物流科技》 2012年第9期4-7,共4页 Logistics Sci-Tech
基金 国家自然科学基金项目 项目编号:71072027
关键词 粒计算 物流节点选址 金字塔模型 数据挖掘模型 granular computing theory logistics nodes loca-tion pyramid model data mining model
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参考文献5

  • 1Hainanmumian. 物流节点[DB/OL]. (2010-07-15)[2012-05-30]. http://baike.baidu.corn/view/lO48718.htm.
  • 2Lin T Y. Granular Computing, Announcement of the BISC Special Interest Group on Granular Computing[DB/OL]. (2010-05 -16)[2012-05-30]. http://www.cs.uregina.ca/-yyao/GrC/.
  • 3吴琚.基于粒计算的数据挖掘应用及研究[D].武汉:武汉理工大学(硕士学位论文).2009.
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  • 5Li-yan ZHANG, Yan SUN, Jian MA. A Decision Support System of Logistics Location[C]//2010 the 2nd IEEE International Conference on Information Management and Engineering, 2010:85-89.

同被引文献3

  • 1Wang S K M, Ziarko W. On optimal decision rules in decision tables[J]. Bullet in of Polish accademy of Science, 1985,333: 693-696.
  • 2Wang S K M,Ziarko W. On optimal decision rules in decision tables[J].Bullet in of Polish accademy of Science,1985.693-696.
  • 3张文修;吴伟志;梁吉业.粗糙集理论与方法[M]北京:科学出版社,20011-2557-97.

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