A Significant Impact Parameter Extraction Method Based on Rough Set Attribution for Reduction Fuel Consumption Estimation

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 608-609)
• Pages: 1289-1293
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.608-609.1289
• Online since: December 2012
• Authors: Jing Jie Chen, Ying Huan Zou
• Keywords: Attribute Reduction, Data Processing, Discrimination, Entropy, QAR, Rough Set (RS)

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