Managing uncertainty is an integral part of making well-informed engineering decisions. When formulating a design problem, many of the variables and models contain epistemic uncertainty, uncertainty due to lack of knowledge. If this lack of knowledge is significant, it may be advantageous to acquire additional information before making a design decision. In this paper, we develop a framework for identifying which sources of epistemic uncertainty should be reduced to improve the overall quality of the design decision. Using principles of information economics, utility theory, and probability bounds analysis, we determine how much additional information should be acquired for each uncertain quantity in the decision problem. Our approach is illustrated with an example for the environmentally benign design of an electric vehicle.


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    Titel :

    Managing Multiple Sources of Epistemic Uncertainty in Engineering Decision Making


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    SAE World Congress & Exhibition ; 2007



    Erscheinungsdatum :

    16.04.2007




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :


    Managing Multiple Sources of Epistemic Uncertainty in Engineering Decision Making

    Schlosser, J. / Paredis, C. J.J. / Society of Automotive Engineers | British Library Conference Proceedings | 2007


    Managing multiple sources of epistemic uncertainty in engineering decision making

    Schlosser,J. / Paredis,C.J. / Georgia Inst.of Technol.,US | Kraftfahrwesen | 2007


    2007-01-1481 Managing Multiple Sources of Epistemic Uncertainty in Engineering Decision Making

    Schlosser, J. / Paredis, C. J. J. / Society of Automotive Engineers | British Library Conference Proceedings | 2007


    Decision Making Under Epistemic Uncertainty for a Complex Mechanical System

    Urbina, A. / Swiler, L. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2011


    Decision Making Under Epistemic Uncertainty for a Complex Mechanical System

    Urbina, Angel / Swiler, Laura / Sankararaman, Shankar et al. | AIAA | 2011