The attribute reduction method modeling and evaluation based on flight parameter data

Wenbing Chang, Zhenzhong Xu, Xingxing Xu, Shenghan Zhou, Cheng Yang

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

2 Citationer (Scopus)

Abstrakt

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.

OriginalsprogEngelsk
TidsskriftNeural Computing and Applications
Vol/bind32
Udgave nummer1
Sider (fra-til)51-60
Antal sider10
ISSN0941-0643
DOI
StatusUdgivet - 2020

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