A Comparison between Two Approaches to Threat Evaluation in an Air Defense Scenario

•  Threat evaluation is a high-level information fusion problem of high importance within the military domain. This task is the foundation for weapons allocation, where assignment of blue force (own) weapon systems to red force (enemy) targets is performed. In this paper, we compare two fundamentally different approaches to threat evaluation: Bayesian networks and fuzzy inference rules. We conclude that there are pros and cons with both types of approaches, and that a hybrid of the two approaches seems both promising and viable for future research. 

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

Bayesian networks

fuzzy inference rules

fuzzy logic

threat assessment

threat evaluation

weapons allocation

Teknik

Technology

Publikations- och innehållstyp

ref (ämneskategori)

kon (ämneskategori)