Analysis on the cause prediction of general aviation accidents based on fuzzy cognitive map
CSTR:
Author:
Affiliation:

Clc Number:

X949

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    With the rapid development of general aviation industry, the number of general aviation accidents increases year by year.In order to effectively predict and prevent accidents,reduce the loss of life and property, it is particularly important to predict the cause of accidents.Through the statistics and classification of the causes of general aviation accidents in the ten years from 2006 to 2015, the fuzzy cognitive map prediction model is established.According to the calculation method of fuzzy cognitive map, the state values of each factor can be obtained after the system reaches the stability.By calculating the correlation degree, the order of influencing factors of general aviation accidents is obtained, and finally the main factors leading to general aviation accidents are obtained.It is found that this method is feasible to predict the causes of general aviation accidents after verification and analysis with examples, and the main causes of general aviation accidents can be successfully predicted by this method.

    Reference
    Related
    Cited by
Get Citation

赵赶超,陈勇刚,雷晶晶.基于模糊认知图的通用航空事故机理分析[J].重庆大学学报,2022,45(11):117~126

Copy
Related Videos

Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:August 11,2019
  • Revised:
  • Adopted:
  • Online: December 01,2022
  • Published:
Article QR Code