TY - JOUR
T1 - The attribute reduction method modeling and evaluation based on flight parameter data
AU - Chang, Wenbing
AU - Xu, Zhenzhong
AU - Xu, Xingxing
AU - Zhou, Shenghan
AU - Yang, Cheng
PY - 2020
Y1 - 2020
N2 - This article focuses on the flight parameter data attribute reduction modelling and evaluation problem. From a structural perspective, flight parameter data analysis has two mainly problems, dimensions and measures. To handle the problems, the attribute of the flight parameter should be reduced. The processed parameter data can be modeled to analyze the flight safety problems. This paper proposes an attribute reduction method with the flight parameter data of the landing phase, which is period the security incidents occurred most frequently. The study applies the neighbourhood rough set to attribute reduction. The proposed attribute reduction method was evaluated and compared with the attribute reduction of factor analysis. The result suggests that the proposed method has higher prediction accuracy.
AB - This article focuses on the flight parameter data attribute reduction modelling and evaluation problem. From a structural perspective, flight parameter data analysis has two mainly problems, dimensions and measures. To handle the problems, the attribute of the flight parameter should be reduced. The processed parameter data can be modeled to analyze the flight safety problems. This paper proposes an attribute reduction method with the flight parameter data of the landing phase, which is period the security incidents occurred most frequently. The study applies the neighbourhood rough set to attribute reduction. The proposed attribute reduction method was evaluated and compared with the attribute reduction of factor analysis. The result suggests that the proposed method has higher prediction accuracy.
KW - Attribute reduction
KW - Factor analysis
KW - Flight parameter data
KW - Neighbourhood rough set
UR - http://www.scopus.com/inward/record.url?scp=85053555820&partnerID=8YFLogxK
U2 - 10.1007/s00521-018-3742-4
DO - 10.1007/s00521-018-3742-4
M3 - Journal article
SN - 0941-0643
VL - 32
SP - 51
EP - 60
JO - Neural Computing and Applications
JF - Neural Computing and Applications
IS - 1
ER -