The Bayesian Compromise Decision Support Problem for Multilevel Design Involving Uncertainty

[+] Author and Article Information
S. Vadde, J. K. Allen, F. Mistree

The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332–0405

J. Mech. Des 116(2), 388-395 (Jun 01, 1994) (8 pages) doi:10.1115/1.2919391 History: Received April 01, 1991; Online June 02, 2008


In this paper we present an extension to the traditional compromise Decision Support Problem (DSP) formulation. In this formulation we use Bayesian statistics to model uncertainties associated with the information being used. In an earlier paper we have introduced a compromise DSP that accounts for uncertainty using fuzzy set theory. In this paper we describe the Bayesian Decision Support Problem. We use this formulation to design a portal frame structure. We discuss the results and compare them with those obtained using the fuzzy DSP. Finally, we discuss the efficacy of incorporating Bayesian statistics into the traditional compromise DSP formulation and describe some of the pending research issues.

Copyright © 1994 by The American Society of Mechanical Engineers
Topics: Design
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