ITLApplied  Computational Mathematics Division
ACMD Seminar Series
Attractive Image NIST

Making Complex Decisions

Saul Gass
Robert H. Smith School of Business, University of Maryland, College Park

Tuesday, October 15, 2002 15:00-16:00,
Bldg. 101, Room B111, NIST Main Campus
Tuesday, October 15, 2002 13:00-14:00,
Room 4511

Abstract: Are you planning to: buy a car, evaluate proposals, choose a laptop computer, allocate a budget to competing projects, change jobs, select a college? For such decision problems, most of us have difficulty choosing the "best" alternative or determining how the alternatives should be ranked. We address these issues and describe why some decision problems are complex and difficult to solve, show how they can be structured by the Analytic Hierarchy Process (AHP) developed by T. L. Saaty, discuss related measurement scales, review the mathematical (eigenvector) basis of the AHP, and illustrate how the AHP can be used to resolve complex decision problems. Related software will be demonstrated and current research reviewed, as time permits.
Contact: A. J. Kearsley

Note: Visitors from outside NIST must contact Robin Bickel; (301) 975-3668; at least 24 hours in advance.

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Last updated: 2011-01-12.