Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Foundations of Fuzzy Systems
Multisensor Data Fusion
Building Probabilistic Networks: 'Where Do the Numbers Come From?' Guest Editors' Introduction
IEEE Transactions on Knowledge and Data Engineering
An Approximate Reasoning Model for Situation and Threat Assessment
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 04
On the revision of probabilistic beliefs using uncertain evidence
Artificial Intelligence
Which fuzzy logic is the best: Pragmatic approach (and its theoretical analysis)
Fuzzy Sets and Systems
Performance Evaluation of TEWA Systems for Improved Decision Support
MDAI '09 Proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence
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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.