Hypotheses Analysis and Assessment in Counterterrorism Activities: A Method Based on OWA and Fuzzy Probabilistic Rough Sets

被引：39

作者：

Fujita, Hamido ^{[1
,2
,3
]}

Gaeta, Angelo ^{[4
]}

Loia, Vincenzo ^{[4
]}

Orciuoli, Francesco ^{[4
]}

机构：

[1] Ho Chi Minh City Univ Technol, Fac Informat Technol, Ho Chi Minh City, Vietnam

[2] Univ Granada, Andalusian Res Inst Data Sci & Computat Intellige, Granada 18071, Spain

[3] Iwate Prefectural Univ, Fac Software & Informat Sci, Takizawa, Iwate 0200693, Japan

[4] Univ Salerno, Dept Management & Innovat Syst, I-84084 Fisciano, Italy

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2020年 / 28卷 / 05期

关键词：

Rough sets; Terrorism; Probabilistic logic; Open wireless architecture; Probability distribution; Weapons; Bayes methods; Fuzzy probabilistic rough sets; GrC; ordered weighted averaging (OWA); three-way decisions; AGGREGATION; UNCERTAINTY;

D O I：

10.1109/TFUZZ.2019.2955047

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article presents a new interactive method to analyze and assess hypotheses, and its application to terrorism events. The method combines probability, fuzzy, and rough set theories and supports decision makers and analysts of counterterrorism in the analysis of intelligence information by using behavioral models of known terrorist groups. Starting from intelligence information about possible attack patterns, the proposed method uses two parameters allowing derivation and analysis of a wide range of hypotheses, and their assessment on the basis of different support levels of evidence. The evaluation of results has been done on real data relating to five years (2012-2016) of terrorist activities extracted from the Global Terrorism Database.

引用

页码：831 / 845

页数：15

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