Innovative Approaches to Fusion 2+

Award Information
Agency:
Department of Defense
Amount:
$99,999.00
Program:
SBIR
Contract:
FA8750-04-C-0204
Solitcitation Year:
2004
Solicitation Number:
2004.1
Branch:
Air Force
Award Year:
2004
Phase:
Phase I
Agency Tracking Number:
F041-115-3028
Solicitation Topic Code:
AF04-115
Small Business Information
DECISIVE ANALYTICS CORP.
1235 Jefferson Davis Highway, Suite 400, Arlington, VA, 22202
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
036593457
Principal Investigator
 David Lee
 Principal Investigator
 (703) 414-5087
 david.lee@dac.us
Business Contact
 Dana Peirce
Title: Contracts Administrator
Phone: (703) 414-5016
Email: dana.peirce@dac.us
Research Institution
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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