一种基于粗糙集的区域交通绿时控制方法

A Regional Transportation Based on Rough Set when the Green Control Method

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,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,结果可为道路决策部门提供依据。

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 the original decision table are formed, and then to proceed data pre-pro- cessing 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.