Method and Application of Air Traffic Risk Quantitative Identification Based on Rough Sets

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The qualitative method, which can be divided into three types: the technocrat type, the chart type and the system type, is mainly adopted to identify the risk of ATC operation units but has the disadvantages in low work efficiency, poor visibility and easily influenced by subjective factors. In order to overcome its drawbacks, the quantitative risk identification model, which based on the idea of attribute reduction in rough set theory, is established to eliminate redundant risk indexes and improve the accuracy of risk identification on the condition of without losing key risk indexes. This mode will be applied to identify risk consisting in the control mode changing of ATC operation unit. The result show that 4 key risk indexes are extracted from 24 basic risk indexes which is premised on the consistency evaluation of expert evaluation results used the Kendall harmonious coefficient, and then provide the basis for the control decision.

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1285-1289

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January 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Doc. 9859. AN/460. ICAO Safety Management Manual. International Civil aviation Organization, 2006. 3.

Google Scholar

[2] Lee W K. Risk assessment modeling in aviation safety management, J. Journal of Air Transport Management. 2006 12(5) 267-273.

DOI: 10.1016/j.jairtraman.2006.07.007

Google Scholar

[3] Janic M. An assessment of risk and safety in civil aviation, J. Journal of Air Transport Management. 2000 6(1) 43-50.

DOI: 10.1016/s0969-6997(99)00021-6

Google Scholar

[4] Pawlak Z. Rough set approach to knowledge-based decision support, J. European Journal of Operational Research. 1997 99(1) 48-57.

DOI: 10.1016/s0377-2217(96)00382-7

Google Scholar

[5] Pawlak Z. Rough sets, J. International Journal of Computer and Information Science. 1982 11(5) 341-356.

Google Scholar

[6] Zhang Wen-xiu, Mi Ju-sheng and Wu Wei-zhi. Knowledge reductions in inconsistent information systems, J. Chinese Journal of Computers. 2003 26(1) 12-18.

Google Scholar

[7] Wang Guo-yin, Yu Hong and Yang Da-chun. Decision table reduction based on conditional information entropy, J. Chinese Journal of Computers. 2002 25(7) 759-766.

Google Scholar

[8] Zhang Xue-feng, Zhang Qing-ling. Design of MATLAB simulation tool box of rough set data analysis system, J. Journal of Northeastern University: Natural Science. 2007 28(1) 40-43.

Google Scholar