A significant impact parameter extraction method based on rough set attribution for reduction fuel consumption estimation

被引：1
|
作者：
Chen, Jingjie [1 ]
Zou, Yinghuan [1 ]
机构：
[1] Civil Aviat Univ China, Aeronaut Automat Coll, Tianjin 300300, Peoples R China
来源：
PROGRESS IN RENEWABLE AND SUSTAINABLE ENERGY, PTS 1 AND 2 | 2013年 / 608-609卷
关键词：
Rough Sets; Discrimination; Entropy; Attribute Reduction; Data processing; QAR;
D O I：
10.4028/www.scientific.net/AMR.608-609.1289
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
QAR recorded a large number of the real operation of flight fuel consumption process parameters. How accurate expression of the aircraft fuel consumption using a limited number of parameters to,And then guide the fuel installation of Both theory and engineering value, In this paper, the method based on rough set attribute reduction, In order to quickly capture the QAR parameter populations for fuel consumption is estimated to significantly affect parameters. This method is more time-consuming short flight mechanics analysis methods, Subjective impact of low, And universal. In addition, the method also integrated into the continuous attribute discrimination algorithm based on information entropy. Further improve the reliability of the results of data analysis. Finally, the algorithm implementation steps and simulation results verify the effectiveness of the algorithm.
引用
收藏
页码：1289 / 1293
页数：5
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