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Concept-Based Requirements Decision Support System (CBRDSS)

Award Information
Agency: Department of Defense
Branch: Army
Contract: N/A
Agency Tracking Number: 18379
Amount: $49,952.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 1992
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
211 A Ave
Lawton, OK 73501
United States
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 John C. Haley
 (405) 355-1471
Business Contact
Phone: () -
Research Institution

The purpose of this project is to develop an Artificial Intelligence (AI)-based Decision Support System (DSS) to support the preparation of the Program Objective Memorandum (POM) by TRADOC and other MACOMS. Phase I includes the development of an operational prototype which proves the worth of the system. Phase II will produce a fully operational system that can be used by action officers and decision makers in preparing the POM input. The key feature of the CBRDSS is the ability to generate an optiamal mix of doctrine, training, force structure, leadership, and materiel requirements to meet the challenge of future combat. This is accomplished within the constraints imposed by DoD, the Administration, Congress, and international treaties. The approach links the DTOLMS solutions to the assigned missions, making them more sensitive to the changing threat and less sensitive to parochial interests. The methodology facilitates rapid analysis of trade-off decisions when funding levels of other external influences mandate change. The methodology will establish a set of DTOLMS projects for the resolution of each mission deficiency, and having determined the degree of membership of each project in the solution set for each deficiency will use fuzzy set theory to derive an overall contribution of each project to the total Army mission. Since all Army missions cannot be completely or simultaneously maximized with the available funds, weighted goal programming will be used.

* Information listed above is at the time of submission. *

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