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基于Pawlak算法的物流选址指标建模研究

Modeling about Logistics Nodes Location Based on Pawlak Algorithm
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摘要 文章从物流节点选址指标体系的复杂性入手,提出以Pawlak算法对指标体系进行约简,简化了物流选址的复杂性。并通过实例展示该算法在物流选址中的应用,结果表明该算法是可行和有效的,并具有很好的实际应用价值。它为物流节点选址问题的解决提供了新的可行途径和有效手段。 The paper proposes simplified method about the index system of logistics node location using the Pawlak algorithm, which can reduce the complexity of decision of logistics node location. It demonstrates the algorithm by example in logistics application field, and the results show that the algorithm is feasible, effective and good practical value. It provides a novel feasible way and effective means to solve the logistics node location problem.
出处 《物流科技》 2014年第2期1-2,21,共3页 Logistics Sci-Tech
基金 国家自然科学基金项目 项目编号:71072027 住房和城乡建设部项目 项目编号:2013-K5-27 江苏省高校自然科学基金项目 项目编号:12KJB580005
关键词 物流节点选址 指标建模 属性约简 Pawlak算法 logistics nodes location index modeling attribute reduction Pawlak algorithm
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参考文献3

  • 1张丽岩,马健.基于粒计算的物流节点选址理论建模[J].物流科技,2012,35(9):4-7. 被引量:2
  • 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.

二级参考文献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.
  • 4YAO Y Y. Granular computing for data mining[C]//Proceedings of SPIE Conference on Data Mining, Intrusion Detection, In- formation Assurance, and Data Networks Security, Kissimmee, USA, 2006.
  • 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.

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