A model of flight safety situation evaluation based on fuzzy matter-element

Han Zhang; Qiang Wang; Jianguo Gao; Dong Wei

doi:10.1117/12.2624732

6 February 2022 A model of flight safety situation evaluation based on fuzzy matter-element

Han Zhang, Qiang Wang, Jianguo Gao, Dong Wei

Proceedings Volume 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021); 1208110 (2022) https://doi.org/10.1117/12.2624732
Event: Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 2021, Chongqing, China

Abstract

In order to grasp the overall flight safety situation and trends accurately, and further improve the ability of risk prediction, this paper put forward a model for flight safety situation evaluation based on fuzzy matter-element by considering the vagueness of flight safety situation and incompatibility of evaluation index. Firstly, based on the "Human -MachineEnvironment" theory, a indicator system of flight safety situation evaluation was established, and the weight of evaluation index was determined by using analytic hierarchy process(AHP) and entropy-weight; Secondly, combining the fuzzy set theory with Euclid approach degree, the model for flight safety situation evaluation was built, and the steps of evaluation was also cleared; Finally, a flight training group was taken a example, and its flight safety situation was analyzed quantitatively based on the data from January to August in 2020. The results show that the model is effective and feasible to portray the safety trends, the quantitative results are objective and effective, can provide a new way for flight safety management.

Citation Download Citation

Han Zhang, Qiang Wang, Jianguo Gao, and Dong Wei "A model of flight safety situation evaluation based on fuzzy matter-element", Proc. SPIE 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 1208110 (6 February 2022); https://doi.org/10.1117/12.2624732

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available