NDLI: Train operation adjustment decision-making based on rough sets and information entropy theory

Content Provider	IEEE Xplore Digital Library
Author	Wen Chao Peng Qi-yuan Chen Yuhong Chen Dalian
Copyright Year	2009
Description	Author affiliation: Dept. of Traffic and Transportation, Southwest Jiaotong University, China, Chengdu, 610031 (Wen Chao; Peng Qi-yuan; Chen Yuhong) \|\| Sichuan JingAn Vocational College, China, Chengdu, 610031 (Chen Dalian)
Abstract	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.
Starting Page	6050
Ending Page	6052
File Size	92505
Page Count	3
File Format	PDF
ISBN	9781424427222
DOI	10.1109/CCDC.2009.5195286
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Chaos Uncertainty Decision making Train operation adjustment Rough sets Rail transportation Dispatching Information entropy Delay Design optimization Decision table
Content Type	Text
Resource Type	Article

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