Innovative Approaches to Fusion 2+

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,999.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
FA8750-04-C-0204
Award Id:
67565
Agency Tracking Number:
F041-115-3028
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1235 Jefferson Davis Highway, Suite 400, Arlington, VA, 22202
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
036593457
Principal Investigator:
David Lee
Principal Investigator
(703) 414-5087
david.lee@dac.us
Business Contact:
Dana Peirce
Contracts Administrator
(703) 414-5016
dana.peirce@dac.us
Research Institute:
n/a
Abstract
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.

* information listed above is at the time of submission.

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