Engineering

Aerospace engineering

Statistics

Computer security

Probabilistic logic

Archaeology

Range (aeronautics)

Set (abstract data type)

Data mining

Computer science

Statistical analysis

Fuzzy set

Computational intelligence

Intelligence analysis

Pattern recognition (psychology)

Mathematics

Fuzzy logic

Artificial intelligence

Programming language

Terrorism

Rough set

Machine learning

History

IEEE Transactions on Fuzzy Systems

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.

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