Innovative Approaches to Fusion 2+
Agency / Branch:
DOD / USAF
Fusion 2+ as it relates to air-to-air engagements involves pressing real time constraints and very large amounts of imperfect data. Real-time data acquired under an air-to-air engagement will have different types of imperfection; two representative classes of imperfection are vagueness and ambiguity in the data. However, the current available approaches of Fusion 2+ are limited when utilizing vague data or ambiguous data. The challenge of this proposal is to explore the prototyping of a hybrid processing model that can formally process both vague (fuzzy) and ambiguous (probabilistic) data types. The challenge is to integrate heterogeneous data where the fuzzy domain is defined as "possibility" and the probabilistic domain is defined by traditional "probability". This research provides a hybrid model by exploring and adopting a transformation method between probability and possibility domains.
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DECISIVE ANALYTICS CORP.
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