Train Operation Adjustment Decision-making Based on Rough Sets and Information Entropy Theory
Train operation Parameters were defined by using rough sets theory. The train operation decision table was established on the bases of the real-time data which was acquired from the actual train operation graphs in the train operation dispatching system. The information entropy theory was used in the process of analyzing each object of the decision table, and the function of each condition attribute for reducing decision-making uncertainty was studied. Then, the importance ranking of the train operation attributes were determined. The work can provide a reference to the dispatchers during train operation adjustment.
Train operation adjustment Rough sets Information entropy Decision table Uncertainty
WEN Chao PENG Qi-yuan CHEN Yuhong CHEN Dalian
Dept. of Traffic and Transportation, Southwest Jiaotong University, China, Chengdu, 610031 Sichuan JingAn Vocational College, China, Chengdu, 610031
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
6050-6052
2009-06-17(万方平台首次上网日期,不代表论文的发表时间)