Multi-criterial decision making system and method

Details Multi-criterial decision making system and method Multi-criterial decision making system and method

2006-12-26

2006-12-26

Hirl, Joseph P. (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

Creation or modification

C706S011000, C706S047000

Reexamination Certificate

active

07155423

ABSTRACT:
An architecture is disclosed for assistance with exploration of design and other decision spaces and for making decisions. These decision spaces may be very large. The architecture consists of three main components: A Seeker acquires candidates by generating or retrieving them, along with their scores according to one or more criteria. A Filter locates a relatively small number of promising candidates that are retained for further analysis. Various filters may be used to locate the promising candidates. A Viewer allows a user to examine trade-off diagrams, and other linked displays, that present the filtered candidates for evaluation, analysis, further exploration, and narrowing the choice set. The computational load of the Seeker may be distributed among a large number of clients in a client-server computing environment.

REFERENCES:
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Josephson et al., An Architecture for Exploring Large Design Spaces, American Association for Artificial Intelligence (www.aaai.org), 1998.
Miller, et al.,Simulation-Based Hybrid-Electric Vehicle Design Search, Society of Automotive Engineers, Inc., 1999.
Houser et al.,A Multi-Variable Approach to Determining the “Best” Gear Design, Proceeding of DETC '2000, 2000 ASME Power Transmission and Gearing Conference, Sep., 2000.
Calpine, H. C. et al.,Some Properties of Pareto-optimal Choices in Decision Problems, The Int. Jl. of Mgmt. Sci., vol. 4, No. 2, 1976.

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