Science & Technology Review
|
2021, 39(18): 111-121
• Papers •
Quantitative classification of global terrorist attacks and prediction of anti-terrorist situation: Based on projection pursuit model and grey metabolic model
Full
DENG Shicheng1, QIN Yao2,3, XU Jifang4, GU Yiwei5
Affiliations
1. Business School, East China University of Science and Technology, Shanghai 200237, China;
2. Chongqing Statistics Bureau, Chongqing 401147, China;
3. School of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing 400067, China;
4. Big Data and Intelligence Engineering School, Chongqing College of International Business and Economics, Chongqing 401520, China;
5. Leshan Commercial Bank, Leshan 614000, China
Published: 2021-09-28
doi: 10.3981/j.issn.1000-7857.2021.18.015
Outline
The terrorist attacks pose a serious threat to the regional peace and stability and their spread to all parts of the world is accelerating. Based on the data of terrorist attacks from 1998 through 2017 in the Global Terrorist Database (GTD), this paper quantitatively classifies the damage degrees of terrorist attacks based on the Projection Pursuit Model (PPM) and the Grey Metabolic Model (GMM), and predicts the spread trend of the global terrorist activities in the next five years. Based on the quantified damage degrees of terrorist attacks, the terrorist attacks can be divided into five levels, with the first level as the "9·11" incident in New York, USA. Terrorist activities have gradually spread from key areas to all parts of the world, but the total amount of the global terrorist attacks is in a downward trend in the next five years. The Middle East, Africa and other regions will still be the areas of a high incidence of international terrorist activities in the next five years. Africa will become a "disaster area" of terrorism, while Southeast Asia and South Asia will become new active areas of terrorism.
terrorist attacks
/
quantitative analysis
/
situation prediction
邓世成, 秦瑶, 许荠方, 顾艺玮.
全球恐怖袭击事件量化分级及反恐态势预测——基于投影寻踪和灰色新陈代谢模型.
科技导报,
2021
, 39
(18)
: 111
-121
.
DOI: 10.3981/j.issn.1000-7857.2021.18.015
DENG Shicheng, QIN Yao, XU Jifang, GU Yiwei.
Quantitative classification of global terrorist attacks and prediction of anti-terrorist situation: Based on projection pursuit model and grey metabolic model[J].
Science & Technology Review,
2021
, 39
(18)
: 111
-121
.
DOI: 10.3981/j.issn.1000-7857.2021.18.015
Year 2021 volume 39 Issue 18
PDF
888
286
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2021.18.015
- Receive Date:2019-08-01
- Online Date:2021-10-09
- Published:2021-09-28