一种基于粗糙集的区域交通绿时控制方法
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A regional transportation based on rough set when the green control method
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    摘要:

    本文根据一种基于粗糙集理论的数据挖掘方法,以路口检测数据为研究对象,通过记录数据形成原始的决策表,后通过改进的Semi Naive Scaler算法对原始决策表进行数据预处理,最后对数据预处理后的决策表采用基于可辨识矩阵的属性频度的启发式约简算法进行属性约简,得出的约简结果为关键的属性,即关键的相位,根据程序实现结果为道路决策部门提供依据。

    Abstract:

    paper according to a rough set theory based on the method of the data mining, testing data with crossroads as the research object, by recording data to form the original decision table, and then to proceed data pre-processing the original decision table by improved Semi Naive Scaler algorithm. Finally, the decision table after the data preprocessing can be proceeded attribute reduction which is based on the discernibility matrix attribute frequency of heuristic reduction algorithm. The results obtained is the key attributes, which is the critical phase, then providing the basis for the path decision-making departments according to the program realization results.

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引用本文

冀朝伟. 一种基于粗糙集的区域交通绿时控制方法[J]. 科学技术与工程, 2011, (23): .
ji chao wei. A regional transportation based on rough set when the green control method[J]. Science Technology and Engineering,2011,(23).

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历史
  • 收稿日期:2011-05-01
  • 最后修改日期:2011-05-18
  • 录用日期:2011-05-16
  • 在线发布日期: 2011-07-08
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