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Quantitative classification of global terrorist attacks and prediction of anti-terrorist situation: Based on projection pursuit model and grey metabolic model
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Science & Technology Review | 2021, 39(18) : 111 - 121
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Science & Technology Review | 2021, 39(18): 111-121
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Quantitative classification of global terrorist attacks and prediction of anti-terrorist situation: Based on projection pursuit model and grey metabolic model
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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
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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
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
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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
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  • Received:2019-08-01
  • Revised:2020-06-22
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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