| 基于粗糙集理论的我国物流需求预测 |
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| 引用本文： | 冯怡,张志勇,徐广姝,文培娜.基于粗糙集理论的我国物流需求预测[J].物流技术,2010,29(1):60-62. |
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| 作者姓名： | 冯怡 张志勇 徐广姝 文培娜 |
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| 作者单位： | 1. 北京物资学院,物流学院,北京,101149
2. 北京物资学院,物流学院,北京,101149;合肥工业大学,管理学院,安徽,合肥,230009 |
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| 基金项目： | 北京市属市管高等学校人才强教计划资助项目 |
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| 摘 要： | 将粗糙集理论引入物流需求预测，首先对物流需求与经济关系进行分析后选取了预测指标，接着运用属性约简提取出关键指标，并根据各指标的重要程度得出一致、完备的预测规则。通过实证证明了该方法可有效处理物流需求与影响因素之间的强耦合与非线性关系，避免主观因素影响，是一种适用性强的预测方法。
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| 关 键 词： | 粗糙集 物流需求 预测 |
The Forecasting of Logistics Demand in China Based on Rough Set Theory |
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| FENG Yi,ZHANG Zhi-yong,XU Guang-shu,WEN Pei-na.The Forecasting of Logistics Demand in China Based on Rough Set Theory[J].Logistics Technology,2010,29(1):60-62. |
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| Authors: | FENG Yi ZHANG Zhi-yong XU Guang-shu WEN Pei-na |
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| Institution: | FENG Yi1,ZHANG Zhi-yong1,2,XU Guang-shu1,WEN Pei-na1(1.School of Logisitcs,Beijing Wuzi Univeristy,Beijing 101149,2.School of Management,Hefei University of Technology,Hefei 230009,China) |
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| Abstract: | After introducing rough set theory into the forecasting of logistics demand,the paper firstly determines the forecasting indices based on an analysis of the relationship between logistics demand and the overall economy,then extracts fromthese the key indices using attribute reduction and finally,considering the relative importance of the indices,reaches a consistent and complete forecasting algorithm.The subsequence empirical study verifies the validity of the procedure in processing the strong coupling and... |
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| Keywords: | rough set logistics demand forecasting |
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