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Achieving "Fairness" in Data Fusion Performance Evaluation Development

Author: James Llinas; Satyaki G Dastidar; Christopher Bowman; Kedar Sambhoos; CALSPAN UB RESEARCH CENTER BUFFALO NY.
Publisher: Ft. Belvoir Defense Technical Information Center 30 APR 2006.
Edition/Format:   eBook : English
Database:WorldCat
Summary:
The key issue for an evaluation (T & E) organization is how to affordably achieve fairness in the application of its PE systems. Our PE framework provides a methodology to accomplish this; viz., the DNN Data Fusion & Resource Management (DF & RM) framework provides the hierarchical PE components for PE solution space and a methodology for mapping PE solution space into various PE problem spaces. The scope of this  Read more...
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Material Type: Internet resource
Document Type: Internet Resource
All Authors / Contributors: James Llinas; Satyaki G Dastidar; Christopher Bowman; Kedar Sambhoos; CALSPAN UB RESEARCH CENTER BUFFALO NY.
OCLC Number: 227902403
Notes: Prepared in cooperation with Data Fusion & Neural Networks, Broomfield, CO. Document includes two separate reports (both on the subject of Data Fusion), in addition to multiple charts and viewgraphs.
Description: 117 p.

Abstract:

The key issue for an evaluation (T & E) organization is how to affordably achieve fairness in the application of its PE systems. Our PE framework provides a methodology to accomplish this; viz., the DNN Data Fusion & Resource Management (DF & RM) framework provides the hierarchical PE components for PE solution space and a methodology for mapping PE solution space into various PE problem spaces. The scope of this fairness study for performance evaluation of data fusion (DF) systems is to define a philosophy of fairness that is defendable as a basis for developing a PE system. Sample PE system MoEs need to be defined to understand the PE problem space, PE solution space and the PE problem-to-solution space mapping (i.e., the 'rules' to map the alternative PE system design solutions to the needed "Fair" PE capability). Implicitly, we are seeking design guidelines for a "best" PE that balances affordability with fairness as defined above. The first technical contribution of this report is in the reusable and extendable PE solution framework within which all applications-layer approaches to PE known to the authors can be expressed. As such, this PE framework exposes PE system design alternatives to the PE system developer and provides a common framework within which alternative PE systems can be compared.

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