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Shuguang Song

The Boeing Company



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You Ren

University of Washington



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Paul D. Sampson

University of Washington



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Multi-Criteria Decision Analysis on Aircraft Stringer Selection

Sponsor: Statistics in Defense and National Security Section
Keywords: multi-criteria decision analysis, Bayesian, scoring, uncertainty

Shuguang Song

The Boeing Company

You Ren

University of Washington

Paul D. Sampson

University of Washington

Multi-CriteriaDecision Analysis (MCDA) problems often involve multiple Decision Makers (DMs). In this paper, we present several decision analysis algorithms, considering both subjective and objective decision criteria with different strategies to account for uncertainty. We address the uncertainty and availability of weights for decision criteria, and develop probability scoring for the criteria. We demonstrate an application of our method with a case study concerning aircraft stringer decisions.

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