Economic Development Forecast of China’s General Aviation Industry
Aiming at solving the problem of system external impact on China’s general aviation industry, combining functional theory and grey system theory, and applying Bayesian network reasoning technology, a grey Bayesian network reasoning prediction model of system impact and system control is established....
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/3747031 |
id |
doaj-6ad89f3446bc4e1d86f44dcc725f8241 |
---|---|
record_format |
Article |
spelling |
doaj-6ad89f3446bc4e1d86f44dcc725f82412020-11-25T03:07:24ZengHindawi-WileyComplexity1076-27871099-05262020-01-01202010.1155/2020/37470313747031Economic Development Forecast of China’s General Aviation IndustryHongqing Liao0Zhigeng Fang1Chuanhui Wang2Xiaqing Liu3College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaSchool of Economics, Qufu Normal University, Jining, ChinaCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaAiming at solving the problem of system external impact on China’s general aviation industry, combining functional theory and grey system theory, and applying Bayesian network reasoning technology, a grey Bayesian network reasoning prediction model of system impact and system control is established. Based on the dynamic deduction of the functional analysis factor of system impact evolution, the flight time of general aviation production operation is selected to predict the development trend of the system. Based on the current period information of the general aviation industry, the grey Bayesian network inference prediction model is used to predict the current and future trends, so as to predict the economic development trend of the general aviation industry in China. The prediction results are more accurate than those of other existing models.http://dx.doi.org/10.1155/2020/3747031 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hongqing Liao Zhigeng Fang Chuanhui Wang Xiaqing Liu |
spellingShingle |
Hongqing Liao Zhigeng Fang Chuanhui Wang Xiaqing Liu Economic Development Forecast of China’s General Aviation Industry Complexity |
author_facet |
Hongqing Liao Zhigeng Fang Chuanhui Wang Xiaqing Liu |
author_sort |
Hongqing Liao |
title |
Economic Development Forecast of China’s General Aviation Industry |
title_short |
Economic Development Forecast of China’s General Aviation Industry |
title_full |
Economic Development Forecast of China’s General Aviation Industry |
title_fullStr |
Economic Development Forecast of China’s General Aviation Industry |
title_full_unstemmed |
Economic Development Forecast of China’s General Aviation Industry |
title_sort |
economic development forecast of china’s general aviation industry |
publisher |
Hindawi-Wiley |
series |
Complexity |
issn |
1076-2787 1099-0526 |
publishDate |
2020-01-01 |
description |
Aiming at solving the problem of system external impact on China’s general aviation industry, combining functional theory and grey system theory, and applying Bayesian network reasoning technology, a grey Bayesian network reasoning prediction model of system impact and system control is established. Based on the dynamic deduction of the functional analysis factor of system impact evolution, the flight time of general aviation production operation is selected to predict the development trend of the system. Based on the current period information of the general aviation industry, the grey Bayesian network inference prediction model is used to predict the current and future trends, so as to predict the economic development trend of the general aviation industry in China. The prediction results are more accurate than those of other existing models. |
url |
http://dx.doi.org/10.1155/2020/3747031 |
work_keys_str_mv |
AT hongqingliao economicdevelopmentforecastofchinasgeneralaviationindustry AT zhigengfang economicdevelopmentforecastofchinasgeneralaviationindustry AT chuanhuiwang economicdevelopmentforecastofchinasgeneralaviationindustry AT xiaqingliu economicdevelopmentforecastofchinasgeneralaviationindustry |
_version_ |
1715300738637234176 |